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Provably effective detection of effective data poisoning attacks
Jonathan Gallagher, Yasaman Esfandiari, Callen MacPhee, Michael · 2025-01-21 · via cs.LG updates on arXiv.org

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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