Cybersecurity

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward

alinemati1983-6987Apr 14

28 sec read26 views0 listens

Researchers have identified a new type of backdoor attack on Reinforcement Learning with Verifiable Rewards (RLVR) systems used in Large Language Models, which can be implanted using less than 2% poisoned data during training. This attack significantly degrades the safety performance of LLMs by increasing their likelihood to generate harmful responses when triggered, posing a critical risk to developers and tech professionals working on AI security.

Read the full article at arXiv cs.CR (Cryptography & Security)

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