| 2026 | AAAI | AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction. | Chao Wang, Zijin Yang, Yaofei Wang, Weiming Zhang, Kejiang Chen |
| 2026 | ACL | Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries. | Ki Sen Hung, Xi Yang, Chang Liu, Haoran Li, Kejiang Chen, Changxuan Fan, Tsun On Kwok, Weiming Zhang, Xiaomeng Li, Yangqiu Song |
| 2026 | ACL | Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning. | Xiaoyun Zhang, Xiaojian Yuan, Di Huang, Wang You, Chen Hu, Jingqing Ruan, Kejiang Chen, Xing Hu |
| 2026 | NDSS | Breaking the Generative Steganography Trilemma: ANStega for Optimal Capacity, Efficiency, and Security. | Yaofei Wang, Weilong Pang, Kejiang Chen, Jinyang Ding, Donghui Hu, Weiming Zhang, Nenghai Yu |
| 2025 | AAAI | CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework. | Han Fang, Kejiang Chen, Zijin Yang, Bosen Cui, Weiming Zhang, Ee-Chien Chang |
| 2025 | AAAI | RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios. | Zehua Ma, Han Fang, Xi Yang, Kejiang Chen, Weiming Zhang |
| 2025 | AAAI | Provably Secure Image Robust Steganography via Cross-modal Error Correction. | Yuang Qi, Kejiang Chen, Na Zhao, Zijin Yang, Weiming Zhang |
| 2025 | ACL | EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models. | Xiao Yu, Yi Yu, Dongrui Liu, Kejiang Chen, Weiming Zhang, Nenghai Yu, Jing Shao |
| 2025 | ACL | SQL Injection Jailbreak: A Structural Disaster of Large Language Models. | Jiawei Zhao, Kejiang Chen, Weiming Zhang, Nenghai Yu |
| 2025 | CVPR | Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection. | Ruiheng Liu, Haozhe Chen, Boyao Zhao, Kejiang Chen, Weiming Zhang |
| 2025 | ICASSP | Watermarking Datasets for LLM Fine-tuning. | Jing Qiu, Xi Yang, Shuai Li, Kejiang Chen, Weiming Zhang, Nenghai Yu |
| 2025 | ICCV | SynTag: Enhancing the Geometric Robustness of Inversion-Based Generative Image Watermarking. | Han Fang, Kejiang Chen, Zehua Ma, Jiajun Deng, Yicong Li, Weiming Zhang, Ee-Chien Chang |
| 2025 | ICLR | A Closer Look at Machine Unlearning for Large Language Models. | Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin |
| 2025 | ICML | De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks. | Wei Fan, Kejiang Chen, Chang Liu, Weiming Zhang, Nenghai Yu |
| 2025 | IJCAI | Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning. | Zhengzhong Zhu, Pei Zhou, Zeting Li, Kejiang Chen, Jiangping Zhu |
| 2025 | NAACL | On the Vulnerability of Text Sanitization. | Meng Tong, Kejiang Chen, Xiaojian Yuan, Jiayang Liu, Weiming Zhang, Nenghai Yu, Jie Zhang |
| 2024 | AAAI | Data-Free Hard-Label Robustness Stealing Attack. | Xiaojian Yuan, Kejiang Chen, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu |
| 2024 | CVPR | Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models. | Zijin Yang, Kai Zeng, Kejiang Chen, Han Fang, Weiming Zhang, Nenghai Yu |
| 2024 | EMNLP | Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features. | Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu |
| 2024 | ICASSP | Attribute-Aware Head Swapping Guided by 3d Modeling. | Wenbo Zhou, Dongdong Chen, Jing Liao, Jie Zhang, Kejiang Chen, Weiming Zhang, Nenghai Yu |
| 2023 | AAAI | Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions. | Han Fang, Yupeng Qiu, Kejiang Chen, Jiyi Zhang, Weiming Zhang, Ee-Chien Chang |
| 2023 | AAAI | Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. | Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang |
| 2023 | ICASSP | Image Adversarial Steganography Based on Joint Distortion. | Zexin Fan, Kejiang Chen, Chuan Qin, Kai Zeng, Weiming Zhang, Nenghai Yu |
| 2023 | ICASSP | ICStega: Image Captioning-based Semantically Controllable Linguistic Steganography. | Xilong Wang, Yaofei Wang, Kejiang Chen, Jinyang Ding, Weiming Zhang, Nenghai Yu |
| 2023 | SP | Discop: Provably Secure Steganography in Practice Based on "Distribution Copies". | Jinyang Ding, Kejiang Chen, Yaofei Wang, Na Zhao, Weiming Zhang, Nenghai Yu |
| 2022 | AAAI | Tracing Text Provenance via Context-Aware Lexical Substitution. | Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu |
| 2022 | ICASSP | Speech Pattern Based Black-Box Model Watermarking for Automatic Speech Recognition. | Haozhe Chen, Weiming Zhang, Kunlin Liu, Kejiang Chen, Han Fang, Nenghai Yu |
| 2022 | ICASSP | An Effective Steganalysis for Robust Steganography with Repetitive JPEG Compression. | Jinliu Feng, Yaofei Wang, Kejiang Chen, Weiming Zhang, Nenghai Yu |
| 2021 | ICASSP | Adversarial Examples Detection Beyond Image Space. | Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang, Nenghai Yu |
| 2020 | CVPR | LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks. | Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, Nenghai Yu |
| 2020 | ICASSP | Self-Supervised Adversarial Training. | Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu |
| 2019 | ICCV | DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. | Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu |
| 2018 | IWDW | Provably Secure Generative Steganography Based on Autoregressive Model. | Kuan Yang, Kejiang Chen, Weiming Zhang, Nenghai Yu |
| 2018 | IWDW | Improving the Embedding Strategy for Batch Adaptive Steganography. | Xinzhi Yu, Kejiang Chen, Weiming Zhang, Yaofei Wang, Nenghai Yu |