Poisoning Attacks on Llms Require a Near-Constant Number of Poison Samples

A research paper explores the vulnerability of Large Language Models (LLMs) to poisoning attacks, finding that a near-constant number of poison samples can compromise their performance. The lack of comments suggests a lack of immediate reaction or discussion from the HN community.

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