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arxiv:2501.11795
Provably effective detection of effective data poisoning attacks
Published on Jan 21
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Abstract
A new statistical test, the Conformal Separability Test, ensures the detectability of dataset poisoning attacks with both mathematical guarantees and empirical evidence.
AI-generated summary
This paper establishes a mathematically precise definition of dataset poisoning attack and proves that the very act of effectively poisoning a dataset ensures that the attack can be effectively detected. On top of a mathematical guarantee that dataset poisoning is identifiable by a new statistical test that we call the Conformal Separability Test, we provide experimental evidence that we can adequately detect poisoning attempts in the real world.
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