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Adams Kong*

1 accepted papers

2024

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense

ECCV 2024poster

"Availability poisons exploit supervised learning (SL) algorithms by introducing class-related shortcut features in images such that models trained on poisoned data are useless for real-world datasets. Self-supervised learning (SSL), which utilizes augmentations to learn instance discrimination, is…