Self-Supervised Neighborhood Probing Shields Tabular AI From Poisoned Labels
Researchers at Soongsil University have developed a self-supervised, multi-view defense that detects label-flipping poisoning attacks in tabular machine learning by ...
Researchers at Soongsil University have developed a self-supervised, multi-view defense that detects label-flipping poisoning attacks in tabular machine learning by ...
A systematic review of 93 studies reveals eight attack types and nine defence types across six categories of unsupervised machine ...
A new survey in Artificial Intelligence Review unifies the four major attack vectors against voice authentication, finding that audio deepfakes ...
Researchers have unveiled a data-level prompt injection attack that hijacks graph prompt learning systems by injecting a tiny fraction of ...
Researchers have developed RecGP, a gradient penalty method that crafts transferable adversarial fake users by steering them toward flat regions ...
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© 2025 Scienmag - Science Magazine