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Mingzhi Lyu*

2 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…

2024

Leveraging Imperfect Restoration for Data Availability Attack

ECCV 2024poster

"The abundance of online data is at risk of unauthorized usage in training deep learning models. To counter this, various Data Availability Attacks (DAAs) have been devised to make data unlearnable for such models by subtly perturbing the training data. However, existing attacks often excel against…