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Investigating Top-$k$ White-Box and Transferable Black-box Attack


Mar 30, 2022
Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae Won Cho, Kang Zhang, In So Kweon

* Accepted by CVPR2022 

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Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs


Oct 11, 2021
Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon

* Code: https://github.com/phibenz/robustness_comparison_vit_mlp-mixer_cnn 

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Universal Adversarial Training with Class-Wise Perturbations


Apr 07, 2021
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon

* Accepted to ICME 2021 

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A Survey On Universal Adversarial Attack


Mar 02, 2021
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon


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Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective


Feb 12, 2021
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon

* Accepted to AAAI 2021 

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Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach


Dec 30, 2020
Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon


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Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy


Oct 26, 2020
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon


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Revisiting Batch Normalization for Improving Corruption Robustness


Oct 07, 2020
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon


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