| 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 | 102 | 2020 |
| 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 | 90 | 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 | 86 | 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 | 79 | 2018 |
| 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 | 66 | 2021 |
| A survey on universal adversarial attack C Zhang, P Benz, C Lin, A Karjauv, J Wu, IS Kweon IJCAI2021, 2021 | 64 | 2021 |
| CD-UAP: Class Discriminative Universal Adversarial Perturbation C Zhang, P Benz, T Imtiaz, IS Kweon AAAI, 2020 | 61 | 2020 |
| A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need? C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ... arXiv preprint arXiv:2303.11717, 2023 | 45 | 2023 |
| 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 | 45 | 2021 |
| Double targeted universal adversarial perturbations P Benz, C Zhang, T Imtiaz, IS Kweon Proceedings of the Asian Conference on Computer Vision, 2020 | 45 | 2020 |
| Text-to-image diffusion model in generative ai: A survey C Zhang, C Zhang, M Zhang, IS Kweon arXiv preprint arXiv:2303.07909, 2023 | 44 | 2023 |
| One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era C ZHANG, C ZHANG, C LI, S ZHENG, SK DAM, M ZHANG, JUK KIM, ... | 40 | 2023 |
| 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 | 40 | 2022 |
| 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 | 39 | 2021 |
| 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 | 39* | 2021 |
| DeepPTZ: Deep Self-Calibration for PTZ Cameras C Zhang, F Rameau, J Kim, DM Argaw, JC Bazin, IS Kweon WACV, 2020 | 37 | 2020 |
| 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 | 35* | 2021 |
| A survey on masked autoencoder for self-supervised learning in vision and beyond C Zhang, C Zhang, J Song, JSK Yi, K Zhang, IS Kweon arXiv preprint arXiv:2208.00173, 2022 | 32 | 2022 |
| Revisiting Residual Networks with Nonlinear Shortcuts C Zhang, F Rameau, S Lee, J Kim, P Benz, DM Argaw, JC Bazin, ... BMVC, 2019 | 30 | 2019 |
| 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 preprint arXiv:2103.01607, 2021 | 29 | 2021 |
In So KweonKAISTVerified email at kaist.ac.kr
