Torsten Krauß

Joined

February 2025

Names

Torsten Krauß (Preferred)

Emails

****@uni-wuerzburg.de (Confirmed)

Personal Links

Google Scholar

ORCID

Career & Education History

PhD student

Institute of Computer Science, Bayerische Julius-Maximilians-Universität Würzburg (uni-wuerzburg.de)

2021 – 2025

Advisors, Relations & Conflicts

Coauthor

Gene Tsudik

2025 – 2025

PhD Advisor

Alexandra Dmitrienko

2021 – 2025

Coauthor

Phillip Rieger

2023 – 2024

Coauthor

Ahmad-Reza Sadeghi

2023 – 2024

Coauthor

Markus Miettinen

2023 – 2024

Expertise

IoT Security

2024 – Present

AI Security

2021 – Present

Cyber Security

2021 – Present

Publications

Cloud-Based Machine Learning Models as Covert Communication Channels
Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
- ACM Asia Conference on Computer and Communications Security 2024
- Readers: Everyone
CrowdGuard: Federated Backdoor Detection in Federated Learning
Phillip Rieger, Torsten Krauß, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi
- Network and Distributed System Security Symposium 2024
- Readers: Everyone
MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers
Torsten Krauß, Alexandra Dmitrienko
- 2023 ACM SIGSAC Conference on Computer and Communications Security
- Readers: Everyone
Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning
Torsten Krauß, Jan König, Alexandra Dmitrienko, Christian Kanzow
- Network and Distributed System Security Symposium 2024
- Readers: Everyone
Security of NVMe Offloaded Data in Large-Scale Machine Learning
Torsten Krauß, Melanie Götz, Alexandra Dmitrienko
- European Symposium on Research in Computer Security 2023
- Readers: Everyone
ClearStamp: A Human-Visible and Robust Model-Ownership Proof based on Transposed Model Training
Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
- USENIX Security Symposium 2024
- Readers: Everyone
Verify your Labels! Trustworthy Predictions and Datasets via Confidence Scores
Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
- USENIX Security Symposium 2024
- Readers: Everyone

Torsten Krauß

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Cloud-Based Machine Learning Models as Covert Communication Channels

CrowdGuard: Federated Backdoor Detection in Federated Learning

MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers

Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning

Security of NVMe Offloaded Data in Large-Scale Machine Learning

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

Verify your Labels! Trustworthy Predictions and Datasets via Confidence Scores

Co-Authors