research
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04/30/2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Adversarial contrastive learning (ACL), without requiring labels, incorp...
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02/08/2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Adversarial contrastive learning (ACL) does not require expensive data a...
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02/07/2022
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests
Non-parametric two-sample tests (TSTs) that judge whether two sets of sa...
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05/31/2021
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?
Adversarial training (AT) based on minimax optimization is a popular lea...
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02/26/2020