239 citations · 271 across the 19 of their papers we have counts for
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cs.CL2026
Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPO
Blake Bullwinkel, Eugenia Kim, Amanda Minnich +1
Language model safety must continually adapt to evolving attacks. Recent works have demonstrated that reinforcement learning can be used to train stronger attacker and defender mod…
cs.CL2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
Mark Russinovich, Ahmed Salem
Recent copyright agreements between AI companies and content creators underscore the need for fine-grained control over language models' ability to reproduce copyrighted text. Exis…
cs.CL2023★ 14 cited
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan, Mark Russinovich
Large language models (LLMs) are trained on massive internet corpora that often contain copyrighted content. This poses legal and ethical challenges for the developers and users of…