| Dup-net: Denoiser and upsampler network for 3d adversarial point clouds defense H Zhou, K Chen, W Zhang, H Fang, W Zhou, N Yu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 189 | 2019 |
| Lg-gan: Label guided adversarial network for flexible targeted attack of point cloud based deep networks H Zhou, D Chen, J Liao, K Chen, X Dong, K Liu, W Zhang, G Hua, N Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 120 | 2020 |
| Adversarial examples against deep neural network based steganalysis Y Zhang, W Zhang, K Chen, J Liu, Y Liu, N Yu Proceedings of the 6th ACM Workshop on information hiding and multimedia …, 2018 | 115 | 2018 |
| Reversible data hiding in color image with grayscale invariance D Hou, W Zhang, K Chen, SJ Lin, N Yu IEEE Transactions on Circuits and Systems for Video Technology 29 (2), 363-374, 2018 | 70 | 2018 |
| Toward understanding and boosting adversarial transferability from a distribution perspective Y Zhu, Y Chen, X Li, K Chen, Y He, X Tian, B Zheng, Y Chen, Q Huang IEEE Transactions on Image Processing 31, 6487-6501, 2022 | 62 | 2022 |
| Tracing text provenance via context-aware lexical substitution X Yang, J Zhang, K Chen, W Zhang, Z Ma, F Wang, N Yu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11613 …, 2022 | 62 | 2022 |
| Defining cost functions for adaptive JPEG steganography at the microscale K Chen, H Zhou, W Zhou, W Zhang, N Yu IEEE Transactions on Information Forensics and Security 14 (4), 1052-1066, 2018 | 61 | 2018 |
| Robust adaptive steganography based on generalized dither modulation and expanded embedding domain X Yu, K Chen, Y Wang, W Li, W Zhang, N Yu Signal Processing 168, 107343, 2020 | 54 | 2020 |
| Distortion design for secure adaptive 3-D mesh steganography H Zhou, K Chen, W Zhang, Y Yao, N Yu IEEE Transactions on Multimedia 21 (6), 1384-1398, 2018 | 53 | 2018 |
| Watermarking text generated by black-box language models X Yang, K Chen, W Zhang, C Liu, Y Qi, J Zhang, H Fang, N Yu arXiv preprint arXiv:2305.08883, 2023 | 52 | 2023 |
| 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 | 50 | 2021 |
| Defining joint distortion for JPEG steganography W Li, W Zhang, K Chen, W Zhou, N Yu Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia …, 2018 | 42 | 2018 |
| Provably secure generative steganography based on autoregressive model K Yang, K Chen, W Zhang, N Yu International Workshop on Digital Watermarking, 55-68, 2018 | 39 | 2018 |
| Pseudo label-guided model inversion attack via conditional generative adversarial network X Yuan, K Chen, J Zhang, W Zhang, N Yu, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3349-3357, 2023 | 38 | 2023 |
| Comments on “steganography using reversible texture synthesis” H Zhou, K Chen, W Zhang, N Yu IEEE Transactions on Image Processing 26 (4), 1623-1625, 2017 | 37 | 2017 |
| Adversarial batch image steganography against CNN-based pooled steganalysis L Li, W Zhang, C Qin, K Chen, W Zhou, N Yu Signal Processing 181, 107920, 2021 | 34 | 2021 |
| Flow-based robust watermarking with invertible noise layer for black-box distortions H Fang, Y Qiu, K Chen, J Zhang, W Zhang, EC Chang Proceedings of the AAAI conference on artificial intelligence 37 (4), 5054-5061, 2023 | 30 | 2023 |
| Gpt paternity test: Gpt generated text detection with gpt genetic inheritance X Yu, Y Qi, K Chen, G Chen, X Yang, P Zhu, W Zhang, N Yu CoRR, 2023 | 30 | 2023 |
| Improving robust adaptive steganography via minimizing channel errors K Zeng, K Chen, W Zhang, Y Wang, N Yu Signal Processing 195, 108498, 2022 | 28 | 2022 |
| Self-supervised adversarial training K Chen, Y Chen, H Zhou, X Mao, Y Li, Y He, H Xue, W Zhang, N Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 27 | 2020 |
