| 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 | 267 | 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 | 214 | 2021 |
| 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 | 195 | 2020 |
| A survey on universal adversarial attack C Zhang, P Benz, C Lin, A Karjauv, J Wu, IS Kweon arXiv preprint arXiv:2103.01498, 2021 | 130 | 2021 |
| 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 | 116 | 2021 |
| 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 | 109 | 2021 |
| 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 | 95 | 2021 |
| 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 | 88 | 2021 |
| Cd-uap: Class discriminative universal adversarial perturbation C Zhang, P Benz, T Imtiaz, IS Kweon Proceedings of the AAAI conference on artificial intelligence 34 (04), 6754-6761, 2020 | 88 | 2020 |
| Double targeted universal adversarial perturbations P Benz, C Zhang, T Imtiaz, IS Kweon Proceedings of the Asian Conference on Computer Vision, 2020 | 74 | 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 | 68 | 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 | 66 | 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 | 65 | 2021 |
| Investigating top-k white-box and transferable black-box attack C Zhang, P Benz, A Karjauv, JW Cho, K Zhang, IS Kweon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 64 | 2022 |
| A brief survey on deep learning based data hiding C Zhang, C Lin, P Benz, K Chen, W Zhang, IS Kweon arXiv preprint arXiv:2103.01607, 2021 | 56 | 2021 |
| Universal adversarial training with class-wise perturbations P Benz, C Zhang, A Karjauv, IS Kweon arXiv preprint arXiv:2104.03000, 2021 | 42 | 2021 |
| Revisiting Residual Networks with Nonlinear Shortcuts. C Zhang, F Rameau, S Lee, J Kim, P Benz, DM Argaw, JC Bazin, ... BMVC 12, 2019 | 36 | 2019 |
| Sensor-based mobile robot navigation via deep reinforcement learning SH Han, HJ Choi, P Benz, J Loaiciga 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | 35 | 2018 |
| Propose-and-attend single shot detector HD Jang, S Woo, P Benz, J Park, IS Kweon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 26 | 2020 |
| Towards robust data hiding against (jpeg) compression: A pseudo-differentiable deep learning approach C Zhang, A Karjauv, P Benz, IS Kweon arXiv preprint arXiv:2101.00973, 2020 | 23 | 2020 |
In So KweonKAISTVerified email at kaist.ac.kr
