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Torsten Krauß
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2020 – today
- 2024
- [c7]Torsten Krauß, Jasper Stang, Alexandra Dmitrienko:
Cloud-Based Machine Learning Models as Covert Communication Channels. AsiaCCS 2024 - [c6]Torsten Krauß, Jan König, Alexandra Dmitrienko, Christian Kanzow:
Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning. NDSS 2024 - [c5]Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi:
CrowdGuard: Federated Backdoor Detection in Federated Learning. NDSS 2024 - [c4]Torsten Krauß, Jasper Stang, Alexandra Dmitrienko:
Verify your Labels! Trustworthy Predictions and Datasets via Confidence Scores. USENIX Security Symposium 2024 - [c3]Torsten Krauß, Jasper Stang, Alexandra Dmitrienko:
ClearStamp: A Human-Visible and Robust Model-Ownership Proof based on Transposed Model Training. USENIX Security Symposium 2024 - [i4]Jasper Stang, Torsten Krauß, Alexandra Dmitrienko:
DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification. CoRR abs/2403.06581 (2024) - 2023
- [c2]Torsten Krauß, Alexandra Dmitrienko:
MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers. CCS 2023: 1526-1540 - [c1]Torsten Krauß, Raphael Götz, Alexandra Dmitrienko:
Security of NVMe Offloaded Data in Large-Scale Machine Learning. ESORICS (4) 2023: 143-163 - [i3]Torsten Krauß, Alexandra Dmitrienko:
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations. CoRR abs/2306.03600 (2023) - [i2]Torsten Krauß, Jasper Stang, Alexandra Dmitrienko:
ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training. CoRR abs/2310.16453 (2023) - 2022
- [i1]Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi:
Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis. CoRR abs/2210.07714 (2022)
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last updated on 2024-09-26 00:55 CEST by the dblp team
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