2 papers
cs.CR2026
Proof-of-Guardrail in AI Agents and What (Not) to Trust from It
Xisen Jin, Michael Duan, Qin Lin +4
As AI agents become widely deployed as online services, users often rely on an agent developer's claim about how safety is enforced, which introduces a threat where safety measures…
cs.CL2026
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
Skyler Hallinan, Jaehun Jung, Melanie Sclar +7
Membership inference attacks serves as useful tool for fair use of language models, such as detecting potential copyright infringement and auditing data leakage. However, many curr…