Konstantin Böttinger

77 papers A* 3A 7B 6C 3Journal 37Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Security-by-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms. CoRR Maximilian Wendlinger, Daniel Kowatsch, Konstantin Böttinger, Philip Sperl
2025	J	`jnl`	DeePen: Penetration Testing for Audio Deepfake Detection. CoRR Nicolas M. Müller, Piotr Kawa, Adriana Stan, Thien-Phuc Doan, Souhwan Jung, Wei Herng Choong, Philip Sperl, Konstantin Böttinger
2025	—	`conf`	GhosTEE: An Approach to Solving the GPU-Privacy Trade-off for Machine Learning Inference. AISec@CCS Andrei-Cosmin Aprodu, Hendrik Meyer zum Felde, Daniel Kowatsch, Konstantin Böttinger
2025	J	`jnl`	Societal Alignment Frameworks Can Improve LLM Alignment. CoRR Karolina Stanczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Jessica Montgomery, Richard S. Zemel, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasovic, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy
2025	—	`conf`	Using LLMs to Identify Personal Data Processing in Source Code. SP (Workshops) Immanuel Kunz, Ching-yu Kao, Daniel Kowatsch, Jens Hiller, Julian Schütte, Dmitry Prokhorenkov, Konstantin Böttinger
2024	A	`conf`	A New Approach to Voice Authenticity. INTERSPEECH Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	A New Approach to Voice Authenticity. CoRR Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2024	A	`conf`	Harder or Different? Understanding Generalization of Audio Deepfake Detection. INTERSPEECH Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	Harder or Different? Understanding Generalization of Audio Deepfake Detection. CoRR Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	Imbalance in Regression Datasets. CoRR Daniel Kowatsch, Nicolas M. Müller, Kilian Tscharke, Philip Sperl, Konstantin Böttinger
2024	B	`conf`	MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. IJCNN Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. CoRR Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
2024	—	`conf`	Near Real-Time Detection and Rectification of Adversarial Patches. FICC (2) Ching-yu Kao, Iheb Ghanmi, Houcemeddine Ben Ayed, Ayush Kumar, Konstantin Böttinger
2024	B	`conf`	Shortcut Detection With Variational Autoencoders. IJCNN Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
2023	A	`conf`	Complex-valued neural networks for voice anti-spoofing. INTERSPEECH Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Complex-valued neural networks for voice anti-spoofing. CoRR Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Introducing Model Inversion Attacks on Automatic Speaker Recognition. CoRR Karla Pizzi, Franziska Boenisch, Ugur Sahin, Konstantin Böttinger
2023	—	`conf`	Localized Shortcut Removal. CVPR Workshops Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
2023	—	`conf`	Localized Shortcut Removal. XAI4CV Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
2023	J	`jnl`	Physical Adversarial Examples for Multi-Camera Systems. CoRR Ana Radutoiu, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2023	A	`conf`	Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Shortcut Detection with Variational Autoencoders. CoRR Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
2022	B	`conf`	Anomaly Detection by Recombining Gated Unsupervised Experts. IJCNN Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022	—	`conf`	Assessing the Impact of Transformations on Physical Adversarial Attacks. AISec@CCS Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022	A	`conf`	Does Audio Deepfake Detection Generalize? INTERSPEECH Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger
2022	J	`jnl`	Does Audio Deepfake Detection Generalize? CoRR Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger
2022	B	`conf`	Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. IJCNN Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022	J	`jnl`	Language Dependencies in Adversarial Attacks on Speech Recognition Systems. CoRR Karla Markert, Donika Mirdita, Konstantin Böttinger
2022	—	`conf`	R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. ECML/PKDD (1) Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
2022	J	`jnl`	R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. CoRR Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
2022	C	`conf`	Real or Fake? A Practical Method for Detecting Tempered Images. IPAS Ching-yu Kao, Hongjia Wan, Karla Markert, Konstantin Böttinger
2022	—	`conf`	Rectifying adversarial inputs using XAI techniques. EUSIPCO Ching-yu Kao, Junhao Chen, Karla Markert, Konstantin Böttinger
2022	J	`jnl`	Shortcut Removal for Improved OOD-Generalization. CoRR Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
2022	J	`jnl`	Visualizing Automatic Speech Recognition - Means for a Better Understanding? CoRR Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-yu Kao, Konstantin Böttinger
2021	B	`conf`	Adversarial Vulnerability of Active Transfer Learning. IDA Nicolas M. Müller, Konstantin Böttinger
2021	J	`jnl`	Adversarial Vulnerability of Active Transfer Learning. CoRR Nicolas M. Müller, Konstantin Böttinger
2021	—	`conf`	DA3G: Detecting Adversarial Attacks by Analysing Gradients. ESORICS (1) Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2021	J	`jnl`	Deep Reinforcement Learning for Backup Strategies against Adversaries. CoRR Pascal Debus, Nicolas M. Müller, Konstantin Böttinger
2021	J	`jnl`	Defending against Adversarial Denial-of-Service Attacks. CoRR Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger
2021	J	`jnl`	Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. CoRR Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2021	J	`jnl`	Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. CoRR Franziska Boenisch, Philip Sperl, Konstantin Böttinger
2021	J	`jnl`	Human Perception of Audio Deepfakes. CoRR Nicolas M. Müller, Karla Markert, Konstantin Böttinger
2021	J	`jnl`	Robuste Lernverfahren. Datenschutz und Datensicherheit Karla Markert, Konstantin Böttinger
2021	J	`jnl`	Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn? CoRR Nicolas M. Müller, Franziska Dieckmann, Pavel Czempin, Roman Canals, Konstantin Böttinger
2020	J	`jnl`	A CoRR Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
2020	—	`conf`	Activation Anomaly Analysis. ECML/PKDD (2) Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
2020	J	`jnl`	Anomaly Detection by Recombining Gated Unsupervised Experts. CoRR Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2020	A	`conf`	DLA: Dense-Layer-Analysis for Adversarial Example Detection. EuroS&P Philip Sperl, Ching-yu Kao, Peng Chen, Xiao Lei, Konstantin Böttinger
2020	C	`conf`	Data Poisoning Attacks on Regression Learning and Corresponding Defenses. PRDC Nicolas M. Müller, Daniel Kowatsch, Konstantin Böttinger
2020	J	`jnl`	Data Poisoning Attacks on Regression Learning and Corresponding Defenses. CoRR Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger
2020	J	`jnl`	Optimizing Information Loss Towards Robust Neural Networks. CoRR Philip Sperl, Konstantin Böttinger
2020	J	`jnl`	Towards Resistant Audio Adversarial Examples. CoRR Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger
2019	C	`conf`	A Unified Architecture for Industrial IoT Security Requirements in Open Platform Communications. ETFA Gerhard Hansch, Peter Schneider, Kai Fischer, Konstantin Böttinger
2019	A*	`conf`	Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy. KDD Jan-Philipp Schulze, Artur Mrowca, Elizabeth Ren, Hans-Andrea Loeliger, Konstantin Böttinger
2019	J	`jnl`	DLA: Dense-Layer-Analysis for Adversarial Example Detection. CoRR Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger
2019	—	`conf`	Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. ICETE (2) Nicolas M. Müller, Pascal Debus, Daniel Kowatsch, Konstantin Böttinger
2019	—	`—`	Fuzzing with Stochastic Feedback Processes. Konstantin Böttinger
2019	—	`conf`	On GDPR Compliance of Companies' Privacy Policies. TSD Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger
2019	—	`conf`	Side-Channel Aware Fuzzing. ESORICS (1) Philip Sperl, Konstantin Böttinger
2019	J	`jnl`	Side-Channel Aware Fuzzing. CoRR Philip Sperl, Konstantin Böttinger
2019	A*	`conf`	Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography. USENIX Security Symposium Felix Fischer, Huang Xiao, Ching-yu Kao, Yannick Stachelscheid, Benjamin Johnson, Danial Razar, Paul Fawkesley, Nat Buckley, Konstantin Böttinger, Paul Muntean, Jens Grossklags
2018	—	`conf`	Deep Reinforcement Fuzzing. IEEE Symposium on Security and Privacy Workshops Konstantin Böttinger, Patrice Godefroid, Rishabh Singh
2018	J	`jnl`	Deep Reinforcement Fuzzing. CoRR Konstantin Böttinger, Patrice Godefroid, Rishabh Singh
2018	—	`conf`	High-Performance Unsupervised Anomaly Detection for Cyber-Physical System Networks. CPS-SPC@CCS Peter Schneider, Konstantin Böttinger
2017	J	`jnl`	A collaborative cyber incident management system for European interconnected critical infrastructures. J. Inf. Secur. Appl. Giuseppe Settanni, Florian Skopik, Yegor Shovgenya, Roman Fiedler, Mark Carolan, Damien Conroy, Konstantin Böttinger, Mark Gall, Gerd Brost, Christophe Ponchel, Mirko Haustein, Helmut Kaufmann, Klaus Theuerkauf, Pia Olli
2017	—	`conf`	Guiding a Colony of Black-Box Fuzzers with Chemotaxis. IEEE Symposium on Security and Privacy Workshops Konstantin Böttinger
2017	A*	`conf`	Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security. IEEE Symposium on Security and Privacy Felix Fischer, Konstantin Böttinger, Huang Xiao, Christian Stransky, Yasemin Acar, Michael Backes, Sascha Fahl
2017	J	`jnl`	Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security. CoRR Felix Fischer, Konstantin Böttinger, Huang Xiao, Christian Stransky, Yasemin Acar, Michael Backes, Sascha Fahl
2016	J	`jnl`	Chemotactic Test Case Recombinationfor Large-Scale Fuzzing. J. Cyber Secur. Mobil. Konstantin Böttinger
2016	B	`conf`	DeepFuzz: Triggering Vulnerabilities Deeply Hidden in Binaries - (Extended Abstract). DIMVA Konstantin Böttinger, Claudia Eckert
2016	J	`jnl`	Fuzzing binaries with Lévy flight swarms. EURASIP J. Inf. Secur. Konstantin Böttinger
2016	—	`conf`	Hunting Bugs with Lévy Flight Foraging. IEEE Symposium on Security and Privacy Workshops Konstantin Böttinger
2015	—	`conf`	A Blueprint for a Pan-European Cyber Incident Analysis System. ICS-CSR Giuseppe Settanni, Florian Skopik, Helmut Kaufmann, Tobias Gebhardt, Klaus Theuerkauf, Konstantin Böttinger, Mark Carolan, Damien Conroy, Pia Olli
2015	A	`conf`	Detecting Fingerprinted Data in TLS Traffic. AsiaCCS Konstantin Böttinger, Dieter Schuster, Claudia Eckert
2014	—	`conf`	TrustID: trustworthy identities for untrusted mobile devices. CODASPY Julian Horsch, Konstantin Böttinger, Michael Weiß, Sascha Wessel, Frederic Stumpf
2012	—	`conf`	A Secure Architecture for Smart Meter Systems. CSS Daniel Angermeier, Konstantin Böttinger, Andreas Ibing, Dieter Schuster, Frederic Stumpf, Dirk Wacker