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AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced AnchorRep, a representation repulsion method designed to block cross-model transfer of adversarial jailbreak attacks.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 6 November 2026
- Collected by OneBench
- 7 Nov 2026, 02:02 UK
Stored source excerpt
arXiv:2609.32602v2 Announce Type: replace Abstract: Adversarial attacks optimized on a single open-weight LLM can transfer to and jailbreak architecturally different models, allowing an attacker with…
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