| Understanding adversarial examples from the mutual influence of images and perturbations C Zhang, P Benz, T Imtiaz, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 74 | 2020 |
| Explaining city branding practices in China's three mega-city regions: The role of ecological modernization M De Jong, Y Chen, S Joss, H Lu, M Zhao, Q Yang, C Zhang Journal of cleaner production 179, 527-543, 2018 | 66 | 2018 |
| Resnet or densenet? introducing dense shortcuts to resnet C Zhang, P Benz, DM Argaw, S Lee, J Kim, F Rameau, JC Bazin, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 60 | 2021 |
| CD-UAP: Class Discriminative Universal Adversarial Perturbation C Zhang, P Benz, T Imtiaz, IS Kweon AAAI, 2020 | 47 | 2020 |
| Revisiting batch normalization for improving corruption robustness P Benz, C Zhang, A Karjauv, IS Kweon Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 46 | 2021 |
| A survey on universal adversarial attack C Zhang, P Benz, C Lin, A Karjauv, J Wu, IS Kweon arXiv preprint arXiv:2103.01498, 2021 | 45 | 2021 |
| Udh: Universal deep hiding for steganography, watermarking, and light field messaging C Zhang, P Benz, A Karjauv, G Sun, IS Kweon Advances in Neural Information Processing Systems 33, 10223-10234, 2020 | 42 | 2020 |
| Double targeted universal adversarial perturbations P Benz, C Zhang, T Imtiaz, IS Kweon Proceedings of the Asian Conference on Computer Vision, 2020 | 38 | 2020 |
| DeepPTZ: Deep Self-Calibration for PTZ Cameras C Zhang, F Rameau, J Kim, DM Argaw, JC Bazin, IS Kweon WACV, 2020 | 31 | 2020 |
| Batch normalization increases adversarial vulnerability and decreases adversarial transferability: A non-robust feature perspective P Benz, C Zhang, IS Kweon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26* | 2021 |
| Revisiting Residual Networks with Nonlinear Shortcuts C Zhang, F Rameau, S Lee, J Kim, P Benz, DM Argaw, JC Bazin, ... BMVC, 2019 | 26 | 2019 |
| Adversarial robustness comparison of vision transformer and mlp-mixer to cnns P Benz, S Ham, C Zhang, A Karjauv, IS Kweon arXiv preprint arXiv:2110.02797, 2021 | 25 | 2021 |
| Universal adversarial perturbations through the lens of deep steganography: Towards a fourier perspective C Zhang, P Benz, A Karjauv, IS Kweon Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3296-3304, 2021 | 23 | 2021 |
| A brief survey on deep learning based data hiding, steganography and watermarking C Zhang, C Lin, P Benz, K Chen, W Zhang, IS Kweon arXiv e-prints, arXiv: 2103.01607, 2021 | 19 | 2021 |
| How does simsiam avoid collapse without negative samples? a unified understanding with self-supervised contrastive learning C Zhang, K Zhang, C Zhang, TX Pham, CD Yoo, IS Kweon ICLR 2022, 2022 | 16 | 2022 |
| Robustness may be at odds with fairness: An empirical study on class-wise accuracy P Benz, C Zhang, A Karjauv, IS Kweon NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 325-342, 2021 | 16 | 2021 |
| Universal adversarial training with class-wise perturbations P Benz, C Zhang, A Karjauv, IS Kweon 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 16 | 2021 |
| A real-time computation model of the electromagnetic force and torque for a maglev planar motor with the concentric winding B Kou, F Xing, L Zhang, C Zhang, Y Zhou Applied Sciences 7 (1), 98, 2017 | 15 | 2017 |
| Data-free universal adversarial perturbation and black-box attack C Zhang, P Benz, A Karjauv, IS Kweon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Towards robust deep hiding under non-differentiable distortions for practical blind watermarking C Zhang, A Karjauv, P Benz, IS Kweon Proceedings of the 29th ACM international conference on multimedia, 5158-5166, 2021 | 11 | 2021 |
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