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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Zhang, Chaoning; Benz, Philipp; Imtiaz, Tooba; Kweon, In-So, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.14509 - 14518, IEEE Conference on Computer Vision and Pattern Recognition, 2020-06 | |
| 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 | |
| DeepPTZ: Deep Self-Calibration for PTZ Cameras Zhang, Chaoning; Rameau, Francois; Kim, Junsik; Argaw, Dawit Mureja; Bazin, Jean-Charles; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, WACV 2020, pp.1030 - 1038, Winter Conference on Applications of Computer Vision, 2020-03 | |
| 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 | |
| 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 | |
| CD-UAP: Class Discriminative Universal Adversarial Perturbation Zhang, Chaoning; Benz, Philipp; Imtiaz, Tooba; Kweon, In-So, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6754 - 6761, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02 | |
| Double Targeted Universal Adversarial Perturbations Benz, Philipp; Zhang, Chaoning; Imtiaz, Tooba; Kweon, In-So, 15th Asian Conference on Computer Vision, ACCV 2020, pp.284 - 300, Springer Science and Business Media Deutschland GmbH, 2021-12 | |
| 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 | |
| Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective Benz, Philipp; Zhang, Chaoning; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.7798 - 7807, IEEE Computer Society, 2021-10-17 |
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