Torsten Krauß

14 papers A* 6A 2Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	AuthentiSafe: Lightweight and Future-Proof Device-to-Device Authentication for IoT. AsiaCCS Lukas Petzi, Torsten Krauß, Alexandra Dmitrienko, Gene Tsudik
2025	A*	`conf`	TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts. USENIX Security Symposium Torsten Krauß, Hamid Dashtbani, Alexandra Dmitrienko
2025	J	`jnl`	TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts. CoRR Torsten Krauß, Hamid Dashtbani, Alexandra Dmitrienko
2024	A*	`conf`	Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning. NDSS Torsten Krauß, Jan König, Alexandra Dmitrienko, Christian Kanzow
2024	A*	`conf`	ClearStamp: A Human-Visible and Robust Model-Ownership Proof based on Transposed Model Training. USENIX Security Symposium Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
2024	A	`conf`	Cloud-Based Machine Learning Models as Covert Communication Channels. AsiaCCS Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
2024	A*	`conf`	CrowdGuard: Federated Backdoor Detection in Federated Learning. NDSS Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi
2024	J	`jnl`	DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification. CoRR Jasper Stang, Torsten Krauß, Alexandra Dmitrienko
2024	A*	`conf`	Verify your Labels! Trustworthy Predictions and Datasets via Confidence Scores. USENIX Security Symposium Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
2023	J	`jnl`	Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations. CoRR Torsten Krauß, Alexandra Dmitrienko
2023	J	`jnl`	ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training. CoRR Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
2023	A*	`conf`	MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers. CCS Torsten Krauß, Alexandra Dmitrienko
2023	—	`conf`	Security of NVMe Offloaded Data in Large-Scale Machine Learning. ESORICS (4) Torsten Krauß, Raphael Götz, Alexandra Dmitrienko
2022	J	`jnl`	Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis. CoRR Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi