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Published in S&P 2024, 2024
In this paper, we take a further step towards understanding adversarial transferability, with a particular focus on surrogate aspects.
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Published in ACM MM 2023, 2023
In this paper, we propose the first test-time backdoor sample detection method in 3D point cloud without assumption to the backdoor triggers.
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Published in CVPR 2023, 2023
In this paper, we propose the test-time corruption robustness consistency evaluation (TeCo), a novel test-time trigger sample detection method that only needs the hard-label outputs of the victim models without any extra information.
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Published in CVPR 2022, 2022
In this paper, we propose adversarial makeup transfer GAN (AMT-GAN), a novel face protection method aiming at constructing adversarial face images that preserve stronger black-box transferability and better visual quality simultaneously.
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Published in ACM MM 2021, 2021
In this paper, we propose AdvHash, the first targeted mismatch attack on deep hashing through adversarial patch.
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