[KongchangAI]
Unverified50% confidenceCautionExact time

Threshold-based defenses face the threat of borderline stealthy poisoning attacks, where an attacker can keep each sample just at the edge of the tolerance threshold and erode concepts through cumulative effect.

1
Sources
50%
Confidence
Long-term
Relevance
8/17/2026
First Seen

Sources

抗投毒概念锚定:防御AI数据污染的新思路

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