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08/14/2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning
Multimodal contrastive learning aims to train a general-purpose feature ...
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07/15/2023
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training
Adversarial examples (AEs) for DNNs have been shown to be transferable: ...
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07/01/2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
Due to its powerful feature learning capability and high efficiency, dee...
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03/08/2022
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
The data-centric machine learning aims to find effective ways to build a...
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03/07/2022
