Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Tobias Braun

Tobias Braun

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2ML×1Crypto×1

Frequent co-authors

Jonas Henry Grebe2×
Anna Rohrbach2×
Marcus Rohrbach2×
Hossein Shakibania1×

Research Timeline

2026
Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models

This paper introduces the Token by Token Backdoor Attack (ToBAC), demonstrating that unified autoregressive models (UAMs) are vulnerable to backdoor attacks where a single trigger can compromise multiple output modalities (text and image).

Geometric Erasure by Contrastive Velocity Matching in Rectified Flows

The paper introduces GEM, an effective concept erasure framework for Rectified Flow Transformers, by unifying trajectory-based unlearning with classic teacher-guided flow matching.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIRecentMay 29, 2026

Geometric Erasure by Contrastive Velocity Matching in Rectified Flows

Jonas Henry Grebe, Tobias Braun, Anna Rohrbach, Marcus Rohrbach

The paper introduces GEM, an effective concept erasure framework for Rectified Flow Transformers, by unifying trajectory-based unlearning with classic teacher-guided flow matching.

View →
cs.CRcs.AIRecentMay 19, 2026

Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models

Tobias Braun, Jonas Henry Grebe, Hossein Shakibania, Anna Rohrbach +1 more

This paper introduces the Token by Token Backdoor Attack (ToBAC), demonstrating that unified autoregressive models (UAMs) are vulnerable to backdoor attacks where a single trigger can compromise multi…

View →