Mario Fritz - RankMe

380 papers A* 83A 12B 1C 1Misc 1Journal 194Unranked 75

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Exploratory Survey Study Toward a Conceptual Framework for Structuring the Integration of Privacy-Enhancing Technologies in Federated Learning and Analytics. IEEE Access Hammam Abu Attieh, Mehmed Halilovic, Raouf Kerkouche, Shadi Rahimian, Hui-Po Wang, Raphael Rehms, Georgios Kaissis, Alexander Ziller, Jonas Kuntzer, Karen Otte, Thierry Meurers, Mario Fritz, Daniel Rückert, Fabian Prasser
2026	J	`jnl`	Certified Circuits: Stability Guarantees for Mechanistic Circuits. CoRR Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz, Jonas Fischer
2026	—	`conf`	Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs. EACL (Volume 2: Short Papers) Arya Labroo, Ivaxi Sheth, Vyas Raina, Amaani Ahmed, Mario Fritz
2026	J	`jnl`	Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs. CoRR Arya Labroo, Ivaxi Sheth, Vyas Raina, Amaani Ahmed, Mario Fritz
2026	J	`jnl`	IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery. CoRR Ivaxi Sheth, Zhijing Jin, Bryan Wilder, Dominik Janzing, Mario Fritz
2026	J	`jnl`	Scalable Delphi: Large Language Models for Structured Risk Estimation. CoRR Tobias Lorenz, Mario Fritz
2026	J	`jnl`	The science and practice of proportionality in AI risk evaluations. CoRR Carlos Mougan, Lauritz Morlock, Jair Aguirre, James R. M. Black, Jan Brauner, Siméon Campos, Sunishchal Dev, David Fernández Llorca, Alberto Franzin, Mario Fritz, Emilia Gómez, Friederike Grosse-Holz, Eloise Hamilton, Max Hasin, José Hernández-Orallo, Dan Lahav, Luca Massarelli, Vasilios Mavroudis, Malcolm Murray, Patricia Paskov, Jaime Raldua, Wout Schellaert
2025	A*	`conf`	3D-Sec '25: The 1st ACM Workshop on Deepfake, Deception, and Disinformation Security. CCS Simon S. Woo, Shahroz Tariq, Sharif Abuadbba, Kristen Moore, Tim Walita, Bimal Viswanath, Mario Fritz
2025	—	`conf`	A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive. ACL (1) Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz
2025	—	`conf`	Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches. EMNLP (Findings) Israel Abebe Azime, Deborah Dormah Kanubala, Tejumade Afonja, Mario Fritz, Isabel Valera, Dietrich Klakow, Philipp Slusallek
2025	J	`jnl`	Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches. CoRR Israel Abebe Azime, Deborah Dormah Kanubala, Tejumade Afonja, Mario Fritz, Isabel Valera, Dietrich Klakow, Philipp Slusallek
2025	—	`conf`	Automated Detection of Abnormalities in Zebrafish Development. MICCAI (7) Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel, Jonas Baumann, Carole Baumann, Jennifer Herrmann, Mario Fritz
2025	—	`conf`	Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. ACL (1) Yuxuan Zhou, Margret Keuper, Mario Fritz
2025	J	`jnl`	COMIX: Compositional Explanations using Prototypes. CoRR Sarath Sivaprasad, Dmitry Kangin, Plamen Angelov, Mario Fritz
2025	A*	`conf`	CSCS '25 - Cyber Security in CarS Workshop. CCS Hans-Joachim Hof, Mario Fritz, Christoph Krauß
2025	A*	`conf`	Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert
2025	—	`conf`	CausalGraph2LLM: Evaluating LLMs for Causal Queries. NAACL (Findings) Ivaxi Sheth, Bahare Fatemi, Mario Fritz
2025	J	`jnl`	Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models. CoRR Ruta Binkyte, Ivaxi Sheth, Zhijing Jin, Mohammad Havaei, Bernhard Schölkopf, Mario Fritz
2025	—	`conf`	Certifiably Robust Malware Detectors by Design. SEC (2) Pierre-François Gimenez, Sarath Sivaprasad, Mario Fritz
2025	J	`jnl`	Certifiably robust malware detectors by design. CoRR Pierre-François Gimenez, Sarath Sivaprasad, Mario Fritz
2025	—	`conf`	Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables. EMNLP (Findings) Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz
2025	J	`jnl`	DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators. Trans. Mach. Learn. Res. Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz
2025	J	`jnl`	DP-SNP-TIHMM: Differentially Private, Time-Inhomogeneous Hidden Markov Models for Synthesizing Genome-Wide Association Datasets. CoRR Shadi Rahimian, Mario Fritz
2025	J	`jnl`	Deepfake Detection that Generalizes Across Benchmarks. CoRR Andrii Yermakov, Jan Cech, Jiri Matas, Mario Fritz
2025	J	`jnl`	Differentially private federated learning for localized control of infectious disease dynamics. CoRR Raouf Kerkouche, Henrik Zunker, Mario Fritz, Martin J. Kühn
2025	A*	`conf`	DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. ICLR Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
2025	J	`jnl`	DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. CoRR Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
2025	—	`conf`	Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection. DAGM GCPR Sarath Sivaprasad, Mario Fritz
2025	—	`conf`	Exploring the Potential of LLMs for Code Deobfuscation. DIMVA (1) David Beste, Grégoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cinà, Sébastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schönherr
2025	J	`jnl`	Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity? CoRR Mario Fritz
2025	—	`conf`	Get My Drift? Catching LLM Task Drift with Activation Deltas. SaTML Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd
2025	J	`jnl`	Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews. CoRR Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz
2025	J	`jnl`	MaxSup: Overcoming Representation Collapse in Label Smoothing. CoRR Yuxuan Zhou, Heng Li, Zhi-Qi Cheng, Xudong Yan, Mario Fritz, Margret Keuper
2025	A*	`conf`	Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. AAAI Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz
2025	J	`jnl`	Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. CoRR Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz
2025	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. Trans. Mach. Learn. Res. Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2025	A*	`conf`	Pixel-level Certified Explanations via Randomized Smoothing. ICML Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele
2025	J	`jnl`	Pixel-level Certified Explanations via Randomized Smoothing. CoRR Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele
2025	J	`jnl`	Probe-based Fine-tuning for Reducing Toxicity. CoRR Jan Wehner, Mario Fritz
2025	—	`ed.`	Proceedings of the 2025 Cyber Security in CarS Workshop, CSCS 2025, Taipei, Taiwan, October 13-17, 2025 CSCS Hans-Joachim Hof, Mario Fritz, Christoph Krauß
2025	J	`jnl`	ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols. CoRR Arnav Sheth, Ivaxi Sheth, Mario Fritz
2025	J	`jnl`	ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks. CoRR Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, Mario Fritz
2025	J	`jnl`	Safety is Essential for Responsible Open-Ended Systems. CoRR Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz
2025	A*	`conf`	Stealix: Model Stealing via Prompt Evolution. ICML Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz
2025	J	`jnl`	Stealix: Model Stealing via Prompt Evolution. CoRR Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz
2025	J	`jnl`	Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models. CoRR Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz
2025	J	`jnl`	Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models. Trans. Mach. Learn. Res. Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz
2025	J	`jnl`	Toward Quantitative Modeling of Cybersecurity Risks Due to AI Misuse. CoRR Steve Barrett, Malcolm Murray, Otter Quarks, Matthew Smith, Jakub Krys, Siméon Campos, Alejandro Tlaie Boria, Chloé Touzet, Sevan Hayrapet, Fred Heiding, Omer Nevo, Adam Swanda, Jair Aguirre, Asher Brass Gershovich, Eric Clay, Ryan Fetterman, Mario Fritz, Marc Juarez, Vasilios Mavroudis, Henry Papadatos
2024	J	`jnl`	A Unified View of Differentially Private Deep Generative Modeling. Trans. Mach. Learn. Res. Dingfan Chen, Raouf Kerkouche, Mario Fritz
2024	A*	`conf`	Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. ICML Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz
2024	J	`jnl`	Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. CoRR Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz
2024	J	`jnl`	Are you still on track!? Catching LLM Task Drift with Activations. CoRR Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd
2024	J	`jnl`	B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
2024	J	`jnl`	Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. CoRR Yuxuan Zhou, Margret Keuper, Mario Fritz
2024	J	`jnl`	BiCert: A Bilinear Mixed Integer Programming Formulation for Precise Certified Bounds Against Data Poisoning Attacks. CoRR Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
2024	A*	`conf`	CSCS '24 - Cyber Security in CarS Workshop. CCS Mario Fritz, Christoph Krauß, Hans-Joachim Hof
2024	J	`jnl`	Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? CoRR Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert
2024	J	`jnl`	CausalGraph2LLM: Evaluating LLMs for Causal Queries. CoRR Ivaxi Sheth, Bahare Fatemi, Mario Fritz
2024	—	`conf`	CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models. SaTML Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz
2024	A*	`conf`	Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation. NeurIPS Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
2024	J	`jnl`	DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators. CoRR Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz
2024	A*	`conf`	Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. NeurIPS Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr
2024	J	`jnl`	Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr
2024	J	`jnl`	Exploring Value Biases: How LLMs Deviate Towards the Ideal. CoRR Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz
2024	J	`jnl`	FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. Proc. Priv. Enhancing Technol. Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
2024	—	`conf`	FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks. GCPR (1) Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
2024	J	`jnl`	FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks. CoRR Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
2024	J	`jnl`	HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data. CoRR Hossein Hajipour, Lea Schönherr, Thorsten Holz, Mario Fritz
2024	J	`jnl`	Hypothesizing Missing Causal Variables with LLMs. CoRR Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz
2024	J	`jnl`	In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models. CoRR Zhi-Yi Chin, Kuan-Chen Mu, Mario Fritz, Pin-Yu Chen, Wei-Chen Chiu
2024	A	`conf`	Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024	J	`jnl`	Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024	A*	`conf`	LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. EMNLP Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz
2024	J	`jnl`	LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. CoRR Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz
2024	J	`jnl`	LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs. CoRR Volker Strobel, Marco Dorigo, Mario Fritz
2024	J	`jnl`	LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. CoRR Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz
2024	A*	`conf`	Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models. NeurIPS Hui-Po Wang, Mario Fritz
2024	J	`jnl`	Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models. CoRR Hui-Po Wang, Mario Fritz
2024	A*	`conf`	MultiMax: Sparse and Multi-Modal Attention Learning. ICML Yuxuan Zhou, Mario Fritz, Margret Keuper
2024	J	`jnl`	MultiMax: Sparse and Multi-Modal Attention Learning. CoRR Yuxuan Zhou, Mario Fritz, Margret Keuper
2024	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2024	A*	`conf`	On Adversarial Training without Perturbing all Examples. ICLR Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele
2024	—	`conf`	PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. NAACL-HLT (Findings) Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz
2024	J	`jnl`	PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. CoRR Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz
2024	—	`conf`	Privacy-Aware Document Visual Question Answering. ICDAR (6) Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2024	—	`conf`	Private and Collaborative Kaplan-Meier Estimators. WPES@CCS Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz
2024	—	`ed.`	Proceedings of the 2024 on Cyber Security in CarS Workshop, CSCS 2024, Salt Lake City, UT, USA, October 14-18, 2024 CSCS Mario Fritz, Christoph Krauß, Hans-Joachim Hof
2024	A*	`conf`	SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. USENIX Security Symposium Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
2024	—	`conf`	SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. NAACL-HLT (Findings) Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz
2024	A*	`conf`	Stealthy Imitation: Reward-guided Environment-free Policy Stealing. ICML Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz
2024	J	`jnl`	Stealthy Imitation: Reward-guided Environment-free Policy Stealing. CoRR Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz
2024	—	`conf`	Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources. EuroS&P Workshops Rebecca Weil, Sahar Abdelnabi, Mario Fritz, Rakibul Hasan
2024	J	`jnl`	Towards Biologically Plausible and Private Gene Expression Data Generation. CoRR Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz
2024	J	`jnl`	Towards Biologically Plausible and Private Gene Expression Data Generation. Proc. Priv. Enhancing Technol. Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz
2023	J	`jnl`	A Large-Scale Study of Phishing PDF Documents. CoRR Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino
2023	J	`jnl`	A Unified View of Differentially Private Deep Generative Modeling. CoRR Dingfan Chen, Raouf Kerkouche, Mario Fritz
2023	J	`jnl`	B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers. CoRR Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
2023	—	`conf`	Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz
2023	J	`jnl`	Certified Robust Models with Slack Control and Large Lipschitz Constants. CoRR Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz
2023	—	`conf`	Certifiers Make Neural Networks Vulnerable to Availability Attacks. AISec@CCS Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
2023	—	`conf`	Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS Raouf Kerkouche, Gergely Ács, Mario Fritz
2023	J	`jnl`	Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR Raouf Kerkouche, Gergely Ács, Mario Fritz
2023	J	`jnl`	Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. CoRR Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz
2023	A*	`conf`	Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. USENIX Security Symposium Sahar Abdelnabi, Mario Fritz
2023	J	`jnl`	Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
2023	A	`conf`	From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! ACSAC Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino
2023	J	`jnl`	From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency. CoRR Protik Bose Pranto, Waqar Hassan Khan, Sahar Abdelnabi, Rebecca Weil, Mario Fritz, Rakibul Hasan
2023	J	`jnl`	Going Beyond Familiar Features for Deep Anomaly Detection. CoRR Sarath Sivaprasad, Mario Fritz
2023	J	`jnl`	Holistically Explainable Vision Transformers. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2023	J	`jnl`	LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. CoRR Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
2023	—	`conf`	MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. DAGM Tejumade Afonja, Dingfan Chen, Mario Fritz
2023	J	`jnl`	MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. CoRR Tejumade Afonja, Dingfan Chen, Mario Fritz
2023	J	`jnl`	More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models. CoRR Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2023	—	`conf`	Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. AISec@CCS Sahar Abdelnabi, Kai Greshake, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2023	J	`jnl`	Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Trans. Pattern Anal. Mach. Intell. Moritz Böhle, Mario Fritz, Bernt Schiele
2023	J	`jnl`	Privacy-Aware Document Visual Question Answering. CoRR Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2023	J	`jnl`	Private and Collaborative Kaplan-Meier Estimators. CoRR Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz
2023	—	`ed.`	Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023 CSCS Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller
2023	J	`jnl`	SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. CoRR Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
2023	J	`jnl`	Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models. CoRR Hossein Hajipour, Thorsten Holz, Lea Schönherr, Mario Fritz
2023	A*	`conf`	UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2022	A*	`conf`	B-cos Networks: Alignment is All We Need for Interpretability. CVPR Moritz Böhle, Mario Fritz, Bernt Schiele
2022	J	`jnl`	B-cos Networks: Alignment is All We Need for Interpretability. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2022	—	`ed.`	Computer Science in Cars Symposium, CSCS 2022, Ingolstadt, Germany, 8 December 2022 CSCS Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller
2022	J	`jnl`	Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. CoRR Sahar Abdelnabi, Mario Fritz
2022	A*	`conf`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2022	A*	`conf`	Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CVPR Sahar Abdelnabi, Rakibul Hasan, Mario Fritz
2022	—	`conf`	Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CHIL Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz
2022	J	`jnl`	Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CoRR Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz
2022	A*	`conf`	Private Set Generation with Discriminative Information. NeurIPS Dingfan Chen, Raouf Kerkouche, Mario Fritz
2022	J	`jnl`	Private Set Generation with Discriminative Information. CoRR Dingfan Chen, Raouf Kerkouche, Mario Fritz
2022	A*	`conf`	ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. ICML Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz
2022	A*	`conf`	RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR Dingfan Chen, Ning Yu, Mario Fritz
2022	J	`jnl`	RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR Dingfan Chen, Ning Yu, Mario Fritz
2022	A*	`conf`	Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz
2022	J	`jnl`	SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. CoRR Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz
2022	J	`jnl`	UnGANable: Defending Against GAN-based Face Manipulation. CoRR Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2022	J	`jnl`	Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring. Proc. Priv. Enhancing Technol. Rakibul Hasan, Mario Fritz
2021	J	`jnl`	"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. CoRR Sahar Abdelnabi, Mario Fritz
2021	A*	`conf`	Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. SP Sahar Abdelnabi, Mario Fritz
2021	A*	`conf`	Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz
2021	J	`jnl`	Backdoor Attacks on Network Certification via Data Poisoning. CoRR Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
2021	A*	`conf`	Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI Yang He, Ning Yu, Margret Keuper, Mario Fritz
2021	J	`jnl`	Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR Yang He, Ning Yu, Margret Keuper, Mario Fritz
2021	—	`ed.`	CSCS '21: Computer Science in Cars Symposium, Ingolstadt, Germany, 30 November 2021 CSCS Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller
2021	A*	`conf`	Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR Moritz Böhle, Mario Fritz, Bernt Schiele
2021	J	`jnl`	Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2021	—	`conf`	Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
2021	A*	`conf`	Dual Contrastive Loss and Attention for GANs. ICCV Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021	J	`jnl`	Dual Contrastive Loss and Attention for GANs. CoRR Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021	A*	`conf`	Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele
2021	J	`jnl`	Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CoRR Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele
2021	A	`conf`	Future Moment Assessment for Action Query. WACV Qiuhong Ke, Mario Fritz, Bernt Schiele
2021	A*	`conf`	Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CVPR Hui-Po Wang, Ning Yu, Mario Fritz
2021	—	`conf`	IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) Hossein Hajipour, Mateusz Malinowski, Mario Fritz
2021	—	`conf`	InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CVPR Workshops Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
2021	J	`jnl`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2021	—	`conf`	MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz
2021	J	`jnl`	Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CoRR Sahar Abdelnabi, Rakibul Hasan, Mario Fritz
2021	J	`jnl`	Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2021	J	`jnl`	ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. CoRR Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz
2021	—	`conf`	SampleFix: Learning to Generate Functionally Diverse Fixes. PKDD/ECML Workshops (2) Hossein Hajipour, Apratim Bhattacharyya, Cristian-Alexandru Staicu, Mario Fritz
2021	J	`jnl`	Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. Int. J. Comput. Vis. Max Maria Losch, Mario Fritz, Bernt Schiele
2021	—	`conf`	What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. MTD@CCS Sahar Abdelnabi, Mario Fritz
2020	J	`jnl`	Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. CoRR Sahar Abdelnabi, Mario Fritz
2020	A*	`conf`	Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. SP Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia
2020	J	`jnl`	Black-Box Watermarking for Generative Adversarial Networks. CoRR Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz
2020	—	`conf`	Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction. ECCV Workshops (5) Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz
2020	—	`ed.`	CSCS '20: Computer Science in Cars Symposium, Feldkirchen, Germany, December 2, 2020 CSCS Björn Brücher, Oliver Wasenmüller, Mario Fritz, Hans-Joachim Hof, Christoph Krauß
2020	J	`jnl`	CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning. CoRR Yang He, Maximilian Zenk, Mario Fritz
2020	J	`jnl`	Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations. Neurocomputing Hosnieh Sattar, Mario Fritz, Andreas Bulling
2020	J	`jnl`	Editor's Note. Int. J. Comput. Vis. Thomas Brox, Mario Fritz
2020	J	`jnl`	Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. CoRR Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang
2020	A*	`conf`	GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2020	A*	`conf`	GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. NeurIPS Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
2020	J	`jnl`	GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. CoRR Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
2020	—	`conf`	Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele
2020	J	`jnl`	Haar Wavelet based Block Autoregressive Flows for Trajectories. CoRR Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele
2020	J	`jnl`	Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CoRR Hui-Po Wang, Ning Yu, Mario Fritz
2020	J	`jnl`	IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. CoRR Hossein Hajipour, Mateusz Malinowski, Mario Fritz
2020	—	`conf`	Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020	J	`jnl`	Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020	J	`jnl`	InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CoRR Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
2020	—	`conf`	Long-Tailed Recognition Using Class-Balanced Experts. GCPR Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele
2020	J	`jnl`	Long-Tailed Recognition Using Class-Balanced Experts. CoRR Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele
2020	A*	`conf`	Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth
2020	J	`jnl`	Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth
2020	J	`jnl`	Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2020	A*	`conf`	Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2020	J	`jnl`	Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz
2020	J	`jnl`	Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. CoRR Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
2020	—	`conf`	Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. ECCV (23) Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz
2020	—	`conf`	Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. GCPR Max Maria Losch, Mario Fritz, Bernt Schiele
2020	—	`conf`	Synthetic Convolutional Features for Improved Semantic Segmentation. ECCV Workshops (4) Yang He, Bernt Schiele, Mario Fritz
2020	J	`jnl`	Synthetic Convolutional Features for Improved Semantic Segmentation. CoRR Yang He, Bernt Schiele, Mario Fritz
2020	—	`conf`	Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. ECCV (2) Rakshith Shetty, Mario Fritz, Bernt Schiele
2020	A*	`conf`	Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CVPR Vedika Agarwal, Rakshith Shetty, Mario Fritz
2020	A*	`conf`	Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang
2020	A*	`conf`	VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. CCS Sahar Abdelnabi, Katharina Krombholz, Mario Fritz
2019	J	`jnl`	"Best-of-Many-Samples" Distribution Matching. CoRR Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
2019	—	`ed.`	ACM Computer Science in Cars Symposium, German Research Center for Artificial Intelligence, Kaiserslautern, Germany, October 8, 2019 CSCS Hans-Joachim Hof, Mario Fritz, Christoph Krauß, Oliver Wasenmüller
2019	A*	`conf`	Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV Ning Yu, Larry Davis, Mario Fritz
2019	—	`conf`	Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
2019	J	`jnl`	Conditional Flow Variational Autoencoders for Structured Sequence Prediction. CoRR Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle
2019	A*	`conf`	Deep Appearance Maps. ICCV Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz
2019	A	`conf`	Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. WACV Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz
2019	J	`jnl`	GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2019	J	`jnl`	Interpretability Beyond Classification Output: Semantic Bottleneck Networks. CoRR Max Maria Losch, Mario Fritz, Bernt Schiele
2019	A*	`conf`	Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2019	J	`jnl`	Learning Manipulation under Physics Constraints with Visual Perception. CoRR Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz
2019	A*	`conf`	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes
2019	J	`jnl`	MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
2019	A*	`conf`	Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. CVPR Rakshith Shetty, Bernt Schiele, Mario Fritz
2019	—	`ed.`	Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings GCPR Thomas Brox, Andrés Bruhn, Mario Fritz
2019	J	`jnl`	Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. CoRR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2019	J	`jnl`	SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. CoRR Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz
2019	J	`jnl`	Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. CoRR Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz
2019	J	`jnl`	Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches. CoRR Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz
2019	A*	`conf`	Time-Conditioned Action Anticipation in One Shot. CVPR Qiuhong Ke, Mario Fritz, Bernt Schiele
2019	J	`jnl`	Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CoRR Vedika Agarwal, Rakshith Shetty, Mario Fritz
2019	—	`ch.`	Towards Reverse-Engineering Black-Box Neural Networks. Explainable AI Seong Joon Oh, Bernt Schiele, Mario Fritz
2019	J	`jnl`	Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang
2019	J	`jnl`	WhiteNet: Phishing Website Detection by Visual Whitelists. CoRR Sahar Abdelnabi, Katharina Krombholz, Mario Fritz
2018	—	`conf`	A Hybrid Model for Identity Obfuscation by Face Replacement. ECCV (1) Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele
2018	J	`jnl`	A Hybrid Model for Identity Obfuscation by Face Replacement. CoRR Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele
2018	A*	`conf`	A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. USENIX Security Symposium Rakshith Shetty, Bernt Schiele, Mario Fritz
2018	A*	`conf`	Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. CVPR Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective. CoRR Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
2018	A*	`conf`	Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. NeurIPS Rakshith Shetty, Mario Fritz, Bernt Schiele
2018	J	`jnl`	Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. CoRR Rakshith Shetty, Mario Fritz, Bernt Schiele
2018	—	`conf`	Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
2018	J	`jnl`	Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. CoRR Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
2018	J	`jnl`	Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. CoRR Ning Yu, Larry Davis, Mario Fritz
2018	J	`jnl`	Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. CoRR Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
2018	A*	`conf`	Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CVPR Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
2018	J	`jnl`	Deep Appearance Maps. CoRR Maxim Maximov, Tobias Ritschel, Mario Fritz
2018	A*	`conf`	Disentangled Person Image Generation. CVPR Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz
2018	—	`conf`	Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. ECCV (16) Yang He, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. CoRR Yang He, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. CoRR Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz
2018	J	`jnl`	Knockoff Nets: Stealing Functionality of Black-Box Models. CoRR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2018	A*	`conf`	Long-Term Image Boundary Prediction. AAAI Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
2018	A*	`conf`	Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. CVPR Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
2018	J	`jnl`	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. CoRR Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes
2018	J	`jnl`	MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CoRR Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz
2018	A*	`conf`	Natural and Effective Obfuscation by Head Inpainting. CVPR Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation. CoRR Rakshith Shetty, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
2018	J	`jnl`	Sequential Attacks on Agents for Long-Term Adversarial Goals. CoRR Edgar Tretschk, Seong Joon Oh, Mario Fritz
2018	—	`conf`	Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele
2018	J	`jnl`	Understanding and Controlling User Linkability in Decentralized Learning. CoRR Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz
2018	—	`conf`	Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner
2017	J	`jnl`	A CoRR Rakshith Shetty, Bernt Schiele, Mario Fritz
2017	A*	`conf`	A Domain Based Approach to Social Relation Recognition. CVPR Qianru Sun, Bernt Schiele, Mario Fritz
2017	J	`jnl`	A Domain Based Approach to Social Relation Recognition. CoRR Qianru Sun, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. CoRR Wenbin Li, Jeannette Bohg, Mario Fritz
2017	J	`jnl`	Advanced Steel Microstructure Classification by Deep Learning Methods. CoRR Seyedmajid Azimi, Dominik Britz, Michael Engstler, Mario Fritz, Frank Mücklich
2017	J	`jnl`	Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective. CoRR Seong Joon Oh, Mario Fritz, Bernt Schiele
2017	A*	`conf`	Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. ICCV Seong Joon Oh, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. Int. J. Comput. Vis. Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2017	J	`jnl`	Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CoRR Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Disentangled Person Image Generation. CoRR Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz
2017	A*	`conf`	Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Exploiting saliency for object segmentation from image level labels. CoRR Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
2017	—	`conf`	It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. CVPR Workshops Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
2017	—	`conf`	Learning Dilation Factors for Semantic Segmentation of Street Scenes. GCPR Yang He, Margret Keuper, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Learning Dilation Factors for Semantic Segmentation of Street Scenes. CoRR Yang He, Margret Keuper, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty. CoRR Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
2017	J	`jnl`	MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. CoRR Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
2017	J	`jnl`	Natural and Effective Obfuscation by Head Inpainting. CoRR Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Novel Views of Objects from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
2017	J	`jnl`	Person Recognition in Social Media Photos. CoRR Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2017	—	`conf`	Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling. ICCV Workshops Hosnieh Sattar, Andreas Bulling, Mario Fritz
2017	A*	`conf`	STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CVPR Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz
2017	A*	`conf`	Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. ICCV Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. CoRR Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele
2017	A*	`conf`	Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. ICCV Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. CoRR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Visual Decoding of Targets During Visual Search From Human Eye Fixations. CoRR Hosnieh Sattar, Mario Fritz, Andreas Bulling
2017	—	`conf`	Visual Stability Prediction and Its Application to Manipulation. AAAI Spring Symposia Wenbin Li, Ales Leonardis, Mario Fritz
2017	A*	`conf`	Visual stability prediction for robotic manipulation. ICRA Wenbin Li, Ales Leonardis, Mario Fritz
2017	A*	`conf`	What is Around the Camera? ICCV Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
2017	J	`jnl`	Whitening Black-Box Neural Networks. CoRR Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz
2016	J	`jnl`	Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. CoRR Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2016	J	`jnl`	Contextual Media Retrieval Using Natural Language Queries. CoRR Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz
2016	J	`jnl`	DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. CoRR Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
2016	A*	`conf`	Deep Reflectance Maps. CVPR Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars
2016	—	`conf`	Demo: I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys (Companion Volume) Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu
2016	—	`conf`	Faceless Person Recognition: Privacy Implications in Social Media. ECCV (3) Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2016	J	`jnl`	Faceless Person Recognition; Privacy Implications in Social Media. CoRR Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2016	A	`conf`	I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu
2016	J	`jnl`	It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. CoRR Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
2016	J	`jnl`	Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell
2016	—	`conf`	Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM. GCPR Jonas Scheer, Mario Fritz, Oliver Grau
2016	J	`jnl`	Long-Term Image Boundary Extrapolation. CoRR Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
2016	A	`conf`	Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. BMVC Mateusz Malinowski, Ashkan Mokarian, Mario Fritz
2016	J	`jnl`	Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. CoRR Ashkan Mokarian, Mateusz Malinowski, Mario Fritz
2016	J	`jnl`	Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
2016	A*	`conf`	Multi-cue Zero-Shot Learning with Strong Supervision. CVPR Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
2016	J	`jnl`	Natural Illumination from Multiple Materials Using Deep Learning. CoRR Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
2016	J	`jnl`	Novel Views of Objects from a Single Image. CoRR Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
2016	J	`jnl`	Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling. CoRR Hosnieh Sattar, Andreas Bulling, Mario Fritz
2016	J	`jnl`	RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CoRR Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz
2016	A	`conf`	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space. WACV Wenbin Li, Mario Fritz
2016	J	`jnl`	Spatio-Temporal Image Boundary Extrapolation. CoRR Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz
2016	J	`jnl`	To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. CoRR Wenbin Li, Seyedmajid Azimi, Ales Leonardis, Mario Fritz
2016	—	`conf`	Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. ACCV (5) Wei-Chen Chiu, Fabio Galasso, Mario Fritz
2016	J	`jnl`	Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. CoRR Wei-Chen Chiu, Fabio Galasso, Mario Fritz
2016	J	`jnl`	Tutorial on Answering Questions about Images with Deep Learning. CoRR Mateusz Malinowski, Mario Fritz
2016	—	`conf`	VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. ECCV Workshops (3) Abhishek Sharma, Oliver Grau, Mario Fritz
2016	J	`jnl`	VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. CoRR Abhishek Sharma, Oliver Grau, Mario Fritz
2016	J	`jnl`	Visual Stability Prediction and Its Application to Manipulation. CoRR Wenbin Li, Ales Leonardis, Mario Fritz
2016	B	`conf`	Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries. ICMR Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz
2015	J	`jnl`	Appearance-Based Gaze Estimation in the Wild. CoRR Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
2015	A*	`conf`	Appearance-based gaze estimation in the wild. CVPR Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
2015	A*	`conf`	Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. ICCV Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2015	J	`jnl`	Ask Your Neurons: A Neural-based Approach to Answering Questions about Images. CoRR Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2015	J	`jnl`	Deep Reflectance Maps. CoRR Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars
2015	J	`jnl`	GazeDPM: Early Integration of Gaze Information in Deformable Part Models. CoRR Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz
2015	J	`jnl`	Hard to Cheat: A Turing Test based on Answering Questions about Images. CoRR Mateusz Malinowski, Mario Fritz
2015	A*	`conf`	Joint segmentation and activity discovery using semantic and temporal priors. PerCom Julia Seiter, Walon Wei-Chen Chiu, Mario Fritz, Oliver Amft, Gerhard Tröster
2015	A*	`conf`	Person Recognition in Personal Photo Collections. ICCV Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2015	J	`jnl`	Person Recognition in Personal Photo Collections. CoRR Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
2015	A*	`conf`	Prediction of search targets from fixations in open-world settings. CVPR Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling
2015	J	`jnl`	Prediction of search targets from fixations in open-world settings. CoRR Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling
2015	A*	`conf`	See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. ICCV Walon Wei-Chen Chiu, Mario Fritz
2015	J	`jnl`	See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. CoRR Walon Wei-Chen Chiu, Mario Fritz
2015	—	`conf`	Teaching robots the use of human tools from demonstration with non-dexterous end-effectors. Humanoids Wenbin Li, Mario Fritz
2014	—	`conf`	A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. NIPS Mateusz Malinowski, Mario Fritz
2014	J	`jnl`	A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. CoRR Mateusz Malinowski, Mario Fritz
2014	J	`jnl`	A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation. CoRR Mateusz Malinowski, Mario Fritz
2014	A*	`conf`	Anytime Recognition of Objects and Scenes. CVPR Sergey Karayev, Mario Fritz, Trevor Darrell
2014	A*	`conf`	Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models. CVPR Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
2014	J	`jnl`	Learning Multi-Scale Representations for Material Classification. CoRR Wenbin Li, Mario Fritz
2014	A	`conf`	Object Disambiguation for Augmented Reality Applications. BMVC Walon Wei-Chen Chiu, Gregory Johnson, Daniel McCulley, Oliver Grau, Mario Fritz
2014	J	`jnl`	Towards a Visual Turing Challenge. CoRR Mateusz Malinowski, Mario Fritz
2014	—	`conf`	Ubic: Bridging the Gap between Digital Cryptography and the Physical World. ESORICS (1) Mark Simkin, Dominique Schröder, Andreas Bulling, Mario Fritz
2014	J	`jnl`	Ubic: Bridging the gap between digital cryptography and the physical world. CoRR Mark Simkin, Andreas Bulling, Mario Fritz, Dominique Schröder
2013	—	`ch.`	A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
2013	—	`conf`	Learnable Pooling Regions for Image Classification ICLR (Workshop Poster) Mateusz Malinowski, Mario Fritz
2013	A	`conf`	Learning Smooth Pooling Regions for Visual Recognition. BMVC Mateusz Malinowski, Mario Fritz
2013	A*	`conf`	Multi-class Video Co-segmentation with a Generative Multi-video Model. CVPR Walon Wei-Chen Chiu, Mario Fritz
2013	A*	`conf`	Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling. ICCV Evgeny Levinkov, Mario Fritz
2012	J	`jnl`	A geometric approach to robotic laundry folding. Int. J. Robotics Res. Stephen Miller, Jur van den Berg, Mario Fritz, Trevor Darrell, Kenneth Y. Goldberg, Pieter Abbeel
2012	—	`conf`	Active Metric Learning for Object Recognition. DAGM/OAGM Symposium Sandra Ebert, Mario Fritz, Bernt Schiele
2012	A*	`conf`	RALF: A reinforced active learning formulation for object class recognition. CVPR Sandra Ebert, Mario Fritz, Bernt Schiele
2012	—	`conf`	Recognizing Materials from Virtual Examples. ECCV (4) Wenbin Li, Mario Fritz
2012	—	`conf`	Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. ACCV (1) Sandra Ebert, Mario Fritz, Bernt Schiele
2012	—	`conf`	Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell
2012	—	`conf`	The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image. ACCV (1) Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars
2012	—	`conf`	Timely Object Recognition. NIPS Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell
2011	—	`conf`	A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
2011	A*	`conf`	A probabilistic model for recursive factorized image features. CVPR Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell
2011	—	`conf`	I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns. ICCV Workshops Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz
2011	A	`conf`	Improving the Kinect by Cross-Modal Stereo. BMVC Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz
2011	A*	`conf`	Parametrized shape models for clothing. ICRA Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel
2011	A	`conf`	Perception for the manipulation of socks. IROS Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel
2011	—	`conf`	Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation. DAGM-Symposium Sandra Ebert, Mario Fritz, Bernt Schiele
2011	A	`conf`	Practical 3-D object detection using category and instance-level appearance models. IROS Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell
2011	A*	`conf`	The NBNN kernel. ICCV Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell
2011	—	`conf`	Visual grasp affordances from appearance-based cues. ICCV Workshops Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell
2010	—	`conf`	Adapting Visual Category Models to New Domains. ECCV (4) Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell
2010	—	`ch.`	Categorical Perception. Cognitive Systems Mario Fritz, Mykhaylo Andriluka, Sanja Fidler, Michael Stark, Ales Leonardis, Bernt Schiele
2010	J	`jnl`	Classifying materials in the real world. Image Vis. Comput. Barbara Caputo, Eric Hayman, Mario Fritz, Jan-Olof Eklundh
2010	—	`ch.`	Multi-modal Learning. Cognitive Systems Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt
2010	—	`conf`	Size Matters: Metric Visual Search Constraints from Monocular Metadata. NIPS Mario Fritz, Kate Saenko, Trevor Darrell
2010	J	`jnl`	Tutor-based learning of visual categories using different levels of supervision. Comput. Vis. Image Underst. Mario Fritz, Geert-Jan M. Kruijff, Bernt Schiele
2009	—	`conf`	An Additive Latent Feature Model for Transparent Object Recognition. NIPS Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell
2009	C	`ed.`	Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liège, Belgium, October 13-15, 2009, Proceedings ICVS Mario Fritz, Bernt Schiele, Justus H. Piater
2009	A*	`conf`	Discriminative structure learning of hierarchical representations for object detection. CVPR Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele
2008	A*	`conf`	Decomposition, discovery and detection of visual categories using topic models. CVPR Mario Fritz, Bernt Schiele
2008	Misc	`conf`	Discovery of activity patterns using topic models. UbiComp Tâm Huynh, Mario Fritz, Bernt Schiele
2008	—	`conf`	Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features. ECCV (2) Paul Schnitzspan, Mario Fritz, Bernt Schiele
2008	—	`—`	Modeling, representing and learning of visual categories. Mario Fritz
2007	A*	`conf`	Towards Robust Pedestrian Detection in Crowded Image Sequences. CVPR Edgar Seemann, Mario Fritz, Bernt Schiele
2006	—	`conf`	Towards Unsupervised Discovery of Visual Categories. DAGM-Symposium Mario Fritz, Bernt Schiele
2005	A*	`conf`	Integrating Representative and Discriminative Models for Object Category Detection. ICCV Mario Fritz, Bastian Leibe, Barbara Caputo, Bernt Schiele
2005	—	`conf`	The 2005 PASCAL Visual Object Classes Challenge. MLCW Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang
2004	—	`conf`	On the Significance of Real-World Conditions for Material Classification. ECCV (4) Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof Eklundh
2002	—	`conf`	Object Tracking and Pose Estimation Using Light-Field Object Models. VMV Matthias Zobel, Mario Fritz, Ingo Scholz