| An embedding cost learning framework using GAN J Yang, D Ruan, J Huang, X Kang, YQ Shi IEEE Transactions on Information Forensics and Security 15, 839-851, 2020 | 206 | 2020 |
| Spatial image steganography based on generative adversarial network J Yang, K Liu, X Kang, EK Wong, YQ Shi arXiv preprint arXiv:1804.07939, 2018 | 87 | 2018 |
| JPEG steganalysis based on densenet J Yang, YQ Shi, EK Wong, X Kang arXiv preprint arXiv:1711.09335, 2017 | 46 | 2017 |
| Steganalysis based on awareness of selection-channel and deep learning J Yang, K Liu, X Kang, E Wong, Y Shi Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017 …, 2017 | 42 | 2017 |
| A multi-purpose image counter-anti-forensic method using convolutional neural networks J Yu, Y Zhan, J Yang, X Kang International workshop on digital watermarking, 3-15, 2016 | 29 | 2016 |
| Towards automatic embedding cost learning for JPEG steganography J Yang, D Ruan, X Kang, YQ Shi Proceedings of the ACM Workshop on Information Hiding and Multimedia …, 2019 | 21 | 2019 |
| Ensemble of CNN and rich model for steganalysis K Liu, J Yang, X Kang 2017 International Conference on Systems, Signals and Image Processing …, 2017 | 17 | 2017 |
| JPEG steganalysis with combined dense connected CNNs and SCA-GFR J Yang, X Kang, EK Wong, YQ Shi Multimedia Tools and Applications 78, 8481-8495, 2019 | 15 | 2019 |
| Reinforcement learning aided network architecture generation for JPEG image steganalysis J Yang, B Lu, L Xiao, X Kang, YQ Shi Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia …, 2020 | 9 | 2020 |
| Steganography with convincing normal image from a joint generative adversarial framework H Zi, Q Zhang, J Yang, X Kang 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 9 | 2018 |
| Approaching optimal embedding in audio steganography with GAN J Yang, H Zheng, X Kang, YQ Shi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Spatial image steganography based on generative adversarial network no 1 J Yang, K Liu, X Kang, EK Wong, YQ Shi | 8 | 2018 |
| A framework of generative adversarial networks with novel loss for JPEG restoration and anti-forensics J Wu, X Kang, J Yang, W Sun Multimedia Systems, 1-15, 2021 | 5 | 2021 |
| Robust data hiding for JPEG images with invertible neural network F Shang, Y Lan, J Yang, E Li, X Kang Neural Networks 163, 219-232, 2023 | 4 | 2023 |
| Deep learning with feature reuse for JPEG image steganalysis J Yang, X Kang, EK Wong, YQ Shi 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 4 | 2018 |
| Robust image steganography: hiding messages in frequency coefficients Y Lan, F Shang, J Yang, X Kang, E Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14955 …, 2023 | 3 | 2023 |
| Toward High Capacity and Robust JPEG Steganography Based on Adversarial Training J Yang, F Shang, Y Liao, Y Chen Security and Communication Networks 2023, 2023 | 1 | 2023 |
| Toward high imperceptibility deep JPEG steganography based on sparse adversarial attack B Chen, Y Nie, J Yang Journal of Visual Communication and Image Representation 97, 103977, 2023 | | 2023 |
| JPEG Steganography with Embedding Cost Learning and Side-Information Estimation J Yang, Y Liao, F Shang, X Kang, YQ Shi arXiv preprint arXiv:2107.13151, 2021 | | 2021 |
Xiangui KangProfessor Xiangui Kang, Sun Yat-Sen University, ChinaVerified email at mail.sysu.edu.cn
