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Showing results 1 to 7 of 7

1
Backpropagating Smoothly Improves Transferability of Adversarial Examples

Zhang, Chaoning; Benz, Philipp; Cho, Gyusang; Karjauv, Adil; Ham, Soomin; Youn, Chan-Hyun; Kweon, In-So, Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Computer Vision Foundation (CVF), IEEE Computer Society, 2021-06-19

2
Data-free Universal Adversarial Perturbation and Black-box Attack

Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.7848 - 7857, IEEE Computer Society, 2021-10-17

3
Investigating Top-k White-Box and Transferable Black-box Attack

Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Cho, Jae Won; Zhang, Kang; Kweon, In So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.15064 - 15073, Computer Vision Foundation, IEEE Computer Society, 2022-06-24

4
Is FGSM Optimal or Necessary for L∞ Adversarial Attack?

Zhang, Chaoning; Karjauv, Adil; Benz, Philipp; Ham, Soomin; Cho, Gyusang; Youn, Chan-Hyun; Kweon, In-So, Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Computer Vision Foundation (CVF), IEEE Computer Society, 2021-06-19

5
Revisiting Batch Normalization for Improving Corruption Robustness

Benz, Philipp; Zhang, Chaoning; Karjauv, Adil; Kweon, In So, IEEE Winter Conference on Applications of Computer Vision (WACV), pp.494 - 503, IEEE COMPUTER SOC, 2021-01

6
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging

Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Sun, Geng; Kweon, In-So, 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Conference on Neural Information Processing Systems, 2020-12-10

7
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective

Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Kweon, In So, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.3296 - 3304, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02

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