Kathrin Grosse

46 papers A* 2A 1B 1Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Backdoor learning curves: explaining backdoor poisoning beyond influence functions. Int. J. Mach. Learn. Cybern. Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2025	J	`jnl`	Design Patterns for Securing LLM Agents against Prompt Injections. CoRR Luca Beurer-Kellner, Beat Buesser, Ana-Maria Cretu, Edoardo Debenedetti, Daniel Dobos, Daniel Fabian, Marc Fischer, David Froelicher, Kathrin Grosse, Daniel Naeff, Ezinwanne Ozoani, Andrew Paverd, Florian Tramèr, Václav Volhejn
2025	J	`jnl`	Gen-Review: A Large-scale Dataset of AI-Generated (and Human-written) Peer Reviews. CoRR Luca Demetrio, Giovanni Apruzzese, Kathrin Grosse, Pavel Laskov, Emil Lupu, Vera Rimmer, Philine Widmer
2025	J	`jnl`	I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks. CoRR Daryna Oliynyk, Rudolf Mayer, Kathrin Grosse, Andreas Rauber
2025	J	`jnl`	Manipulating Trajectory Prediction Models With Backdoors. IEEE Trans. Intell. Transp. Syst. Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi
2025	J	`jnl`	Prevalence of Security and Privacy Risk-Inducing Usage of AI-based Conversational Agents. CoRR Kathrin Grosse, Nico Ebert
2024	J	`jnl`	Machine Learning Security Against Data Poisoning: Are We There Yet? Computer Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2024	J	`jnl`	Position: A taxonomy for reporting and describing AI security incidents. CoRR Lukas Bieringer, Kevin Paeth, Andreas Wespi, Kathrin Grosse
2024	J	`jnl`	Rethinking data augmentation for adversarial robustness. Inf. Sci. Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer
2024	J	`jnl`	Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. CoRR David Fernández Llorca, Ronan Hamon, Henrik Junklewitz, Kathrin Grosse, Lars Kunze, Patrick Seiniger, Robert Swaim, Nick Reed, Alexandre Alahi, Emilia Gómez, Ignacio Sánchez, Ákos Kriston
2024	A*	`conf`	Towards More Practical Threat Models in Artificial Intelligence Security. USENIX Security Symposium Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Alexandre Alahi
2024	—	`conf`	Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act. HICSS Fiona Koh, Kathrin Grosse, Giovanni Apruzzese
2024	A*	`conf`	When Your AI Becomes a Target: AI Security Incidents and Best Practices. AAAI Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Alexandre Alahi
2023	J	`jnl`	Adversarial vulnerability bounds for Gaussian process classification. Mach. Learn. Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
2023	J	`jnl`	Machine Learning Security in Industry: A Quantitative Survey. IEEE Trans. Inf. Forensics Secur. Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Katharina Krombholz
2023	J	`jnl`	Manipulating Trajectory Prediction with Backdoors. CoRR Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi
2023	J	`jnl`	Towards more Practical Threat Models in Artificial Intelligence Security. CoRR Kathrin Grosse, Lukas Bieringer, Tarek Richard Besold, Alexandre Alahi
2023	J	`jnl`	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2022	J	`jnl`	"Why do so?" - A Practical Perspective on Machine Learning Security. CoRR Kathrin Grosse, Lukas Bieringer, Tarek Richard Besold, Battista Biggio, Katharina Krombholz
2022	J	`jnl`	A Survey on Reinforcement Learning Security with Application to Autonomous Driving. CoRR Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
2022	J	`jnl`	Backdoor smoothing: Demystifying backdoor attacks on deep neural networks. Comput. Secur. Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja Park, Michael Backes, Ian M. Molloy
2022	—	`conf`	Industrial practitioners' mental models of adversarial machine learning. SOUPS @ USENIX Security Symposium Lukas Bieringer, Kathrin Grosse, Michael Backes, Battista Biggio, Katharina Krombholz
2022	J	`jnl`	Machine Learning Security against Data Poisoning: Are We There Yet? CoRR Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2022	J	`jnl`	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2021	J	`jnl`	Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions. CoRR Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2021	A	`conf`	Do winning tickets exist before DNN training? SDM Kathrin Grosse, Michael Backes
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`	Mental Models of Adversarial Machine Learning. CoRR Lukas Bieringer, Kathrin Grosse, Michael Backes, Katharina Krombholz
2020	J	`jnl`	A new measure for overfitting and its implications for backdooring of deep learning. CoRR Kathrin Grosse, Taesung Lee, Youngja Park, Michael Backes, Ian M. Molloy
2020	J	`jnl`	Adversarial Examples and Metrics. CoRR Nico Döttling, Kathrin Grosse, Michael Backes, Ian M. Molloy
2020	J	`jnl`	How many winning tickets are there in one DNN? CoRR Kathrin Grosse, Michael Backes
2020	B	`conf`	Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks. ICPR Kathrin Grosse, Michael T. Smith, Michael Backes
2020	—	`conf`	On the Security Relevance of Initial Weights in Deep Neural Networks. ICANN (1) Kathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes, Dietrich Klakow
2020	—	`—`	Why is Machine Learning Security so hard? Kathrin Grosse
2019	J	`jnl`	Adversarial Initialization - when your network performs the way I want. CoRR Kathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes, Dietrich Klakow
2019	J	`jnl`	Adversarial Vulnerability Bounds for Gaussian Process Classification. CoRR Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
2018	J	`jnl`	Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification. CoRR Kathrin Grosse, Michael T. Smith, 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	J	`jnl`	The Limitations of Model Uncertainty in Adversarial Settings. CoRR Kathrin Grosse, David Pfaff, Michael T. Smith, Michael Backes
2017	—	`conf`	Adversarial Examples for Malware Detection. ESORICS (2) Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick D. McDaniel
2017	J	`jnl`	On the (Statistical) Detection of Adversarial Examples. CoRR Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, Michael Backes, Patrick D. McDaniel
2016	J	`jnl`	Adversarial Perturbations Against Deep Neural Networks for Malware Classification. CoRR Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick D. McDaniel
2015	J	`jnl`	Integrating argumentation and sentiment analysis for mining opinions from Twitter. AI Commun. Kathrin Grosse, María Paula González, Carlos Iván Chesñevar, Ana Gabriela Maguitman
2013	—	`conf`	A First Approach to Mining Opinions as Multisets through Argumentation. AT Carlos Iván Chesñevar, María Paula González, Kathrin Grosse, Ana Gabriela Maguitman
2012	—	`conf`	An Argument-based Approach to Mining Opinions from Twitter. AT Kathrin Grosse, Carlos Iván Chesñevar, Ana Gabriela Maguitman
2012	J	`jnl`	Empowering an E-Government Platform Through Twitter-Based Arguments. Inteligencia Artif. Kathrin Grosse, Carlos Iván Chesñevar, Ana Gabriela Maguitman, Elsa Estevez