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03/30/2022
Investigating Top-k White-Box and Transferable Black-box Attack
Existing works have identified the limitation of top-1 attack success ra...
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10/06/2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Convolutional Neural Networks (CNNs) have become the de facto gold stand...
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04/07/2021
Universal Adversarial Training with Class-Wise Perturbations
Despite their overwhelming success on a wide range of applications, conv...
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03/02/2021
A Survey On Universal Adversarial Attack
Deep neural networks (DNNs) have demonstrated remarkable performance for...
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02/12/2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective
The booming interest in adversarial attacks stems from a misalignment be...
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12/30/2020
Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach
Data hiding is one widely used approach for protecting authentication an...
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10/26/2020
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy
Recently, convolutional neural networks (CNNs) have made significant adv...
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10/07/2020