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News/Clustering Unsupervised Representations as Defense against Poisoning Attacks on Speech Commands Classification System
arxiv
PublishedJune 30, 2026 at 4:00 AM

Clustering Unsupervised Representations as Defense against Poisoning Attacks on Speech Commands Classification System

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arXiv:2606.28953v1 Announce Type: cross Abstract: Poisoning attacks entail attackers intentionally tampering with training data. In this paper, we consider a dirty-label poisoning attack scenario on a speech commands classification system. The threat model assumes that certain utterances from one of

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