Torsten Krauß

According to our database, Torsten Krauß authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Memory Backdoor Attacks on Neural Networks.

Eden Luzon, Guy Amit, Roy Weiss, Torsten Krauß, Alexandra Dmitrienko, Yisroel Mirsky

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

FLux: Covert Channels in FL through Transposed Training.

Alexandra Dmitrienko, Torsten Krauß, Yisroel Mirsky

Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

2025

Poisoning Attacks in Deep Learning Security.

Torsten Krauß

PhD thesis, 2025

TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts.

Torsten Krauß, Hamid Dashtbani, Alexandra Dmitrienko

Proceedings of the 34th USENIX Security Symposium, 2025

Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning.

Melanie Gotz, Torsten Krauß, Alexandra Dmitrienko

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AuthentiSafe: Lightweight and Future-Proof Device-to-Device Authentication for IoT.

Lukas Petzi, Torsten Krauß, Alexandra Dmitrienko, Gene Tsudik

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

2024

DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification.

Jasper Stang, Torsten Krauß, Alexandra Dmitrienko

CoRR, 2024

ClearStamp: A Human-Visible and Robust Model-Ownership Proof based on Transposed Model Training.

Torsten Krauß, Jasper Stang, Alexandra Dmitrienko

Proceedings of the 33rd USENIX Security Symposium, 2024

Verify your Labels! Trustworthy Predictions and Datasets via Confidence Scores.

Torsten Krauß, Jasper Stang, Alexandra Dmitrienko

Proceedings of the 33rd USENIX Security Symposium, 2024

CrowdGuard: Federated Backdoor Detection in Federated Learning.

Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning.

Torsten Krauß, Jan König, Alexandra Dmitrienko, Christian Kanzow

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Cloud-Based Machine Learning Models as Covert Communication Channels.

Torsten Krauß, Jasper Stang, Alexandra Dmitrienko

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training.

Torsten Krauß, Jasper Stang, Alexandra Dmitrienko

CoRR, 2023

Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations.

Torsten Krauß, Alexandra Dmitrienko

CoRR, 2023

Security of NVMe Offloaded Data in Large-Scale Machine Learning.

Torsten Krauß, Raphael Götz, Alexandra Dmitrienko

Proceedings of the Computer Security - ESORICS 2023, 2023

MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers.

Torsten Krauß, Alexandra Dmitrienko

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis.

Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi

CoRR, 2022