arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral
SAGE: Similarity-Based Cleaning of Poisoned Training Data from Verified Examples
Publisher summary· verbatim
arXiv:2610.01788v1 Announce Type: new Abstract: As machine learning increasingly relies on public, untrusted data sources, data poisoning attacks, which inject malicious examples into training data to induce misclassification of a chosen target, pose a growing threat. Existing defenses either assume
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Originally published on arxiv ↗