Backdoor pattern: Difference between revisions
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Latest revision as of 00:24, 20 January 2026
Backdoor pattern
A transformation or insertion applied to a data sample that triggers an adversary-specified behaviour in a model that has been subject to a backdoor poisoning attack. For example, in computer vision, an adversary could poison a model such that the insertion of a square of white pixels induces a desired target label.
Source: NIST AI 100-2e2025 | Category: