| 2026 | AAAI | ObjectAdv: Object-Level Unrestricted Adversarial Attacks via Diffusion Models. | Shijie Zhao, Zhenyu Liang, Xing Yang, Haoqi Gao, Anjie Peng, Hui Zeng |
| 2025 | AAAI | Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability. | Hui Zeng, Sanshuai Cui, Biwei Chen, Anjie Peng |
| 2025 | ICASSP | Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability. | Hui Zeng, Sanshuai Cui, Biwei Chen, Anjie Peng |
| 2025 | ICONIP | Orthogonal Frequency-Spatial Gradient Fusion Attack for Boosting Adversarial Transferability. | Qingpei Zhao, Zhenyu Liang, Siqi Huang, Shijie Zhao, Anjie Peng, Hui Zeng |
| 2025 | ICPADS | FCA-MARS: Full-Coverage Adversarial Camouflage for Few-Shot Ships with Multi-Angle Attack Robustness. | Yaoran Wang, Haoqi Gao, Shijie Zhao, Anjie Peng, Hui Zeng, Xing Yang |
| 2025 | ICPADS | FCSA: A Multi-Domain Enhancement Method for Improving Adversarial Transferability. | Shengyu Xiong, Anjie Peng, Hui Zeng, Qiang Wan, Shujian Liao, Fudie Ai, Yong Peng, Wanli Dong |
| 2025 | IJCNN | S-DiffAdv: Enhancing Unrestricted Adversarial Attack via Sparse Diffusion. | Shijie Zhao, Anjie Peng, Shujian Liao, Wanli Dong, Yong Peng |
| 2025 | PRICAI | HFCNet: A Spatial-Frequency Collaborative Multi-scale Network for Infrared Small Target Detection. | Fudie Ai, Wanli Dong, Yiming He, Shujian Liao, Shengyu Xiong, Anjie Peng |
| 2025 | PRICAI | Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-Based Models. | Shujian Liao, Shengyu Xiong, Fudie Ai, Wanli Dong, Yong Peng, Anjie Peng, Hui Zeng |
| 2025 | SMC | Infrared Vehicle Adversarial Patch: Physical Attacking Infrared Vehicle Detectors. | Hanyang Chen, Wanli Dong, Jiachuan Fan, Xiaoming Gao, Anjie Peng, Xingdi Fan, Dong Li |
| 2024 | ICASSP | Enhancing Targeted Transferability VIA Feature Space Fine-Tuning. | Hui Zeng, Biwei Chen, Anjie Peng |
| 2024 | ICPR | A Whale Falls, All Thrive: Mitigating Attention Gap to Improve Adversarial Transferability. | Qiang Wan, Biwei Chen, Anjie Peng, Hui Zeng |
| 2023 | ICASSP | Boosting Transferability of Adversarial Example via an Enhanced Euler's Method. | Anjie Peng, Zhi Lin, Hui Zeng, Wenxin Yu, Xiangui Kang |
| 2023 | ICASSP | Make Your Enemy Your Friend: Improving Image Rotation Angle Estimation with Harmonics. | Kun Yu, Morteza Darvish Morshedi Hosseini, Anjie Peng, Hui Zeng, Miroslav Goljan |
| 2023 | ICIP | An Enhanced Neuron Attribution-Based Attack Via Pixel Dropping. | Zhi Lin, Anjie Peng, Hui Zeng, Kaijun Wu, Wenxin Yu |
| 2023 | ICIP | Adversarial Example Detection Bayesian Game. | Hui Zeng, Biwei Chen, Kang Deng, Anjie Peng |
| 2023 | ICIP | Enhancing Targeted Transferability Via Suppressing High-Confidence Labels. | Hui Zeng, Tong Zhang, Biwei Chen, Anjie Peng |
| 2023 | ICONIP | Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models. | Chenggang Li, Anjie Peng, Hui Zeng, Kaijun Wu, Wenxin Yu |
| 2023 | ICONIP | Detecting Adversarial Examples via Classification Difference of a Robust Surrogate Model. | Anjie Peng, Kang Deng, Hui Zeng, Kaijun Wu, Wenxin Yu |
| 2023 | ICONIP | Neuron Attribution-Based Attacks Fooling Object Detectors. | Guoqiang Shi, Anjie Peng, Hui Zeng, Wenxin Yu |
| 2023 | ICONIP | Towards Undetectable Adversarial Examples: A Steganographic Perspective. | Hui Zeng, Biwei Chen, Rongsong Yang, Chenggang Li, Anjie Peng |
| 2023 | ICONIP | Ignored Details in Eyes: Exposing GAN-Generated Faces by Sclera. | Tong Zhang, Anjie Peng, Hui Zeng |
| 2023 | IJCNN | An Enhanced Transferable Adversarial Attack Against Object Detection. | Guoqiang Shi, Zhi Lin, Anjie Peng, Hui Zeng |
| 2023 | IJCNN | Towards infrared human pose estimation via Transformer. | Zhilei Zhu, Wanli Dong, Xiaoming Gao, Anjie Peng |
| 2023 | ISCC | DepthWise Attention: Towards Individual Channels Attention. | Zhilei Zhu, Wanli Dong, Xiaoming Gao, Anjie Peng |
| 2022 | ICASSP | How Secure Are The Adversarial Examples Themselves? | Hui Zeng, Kang Deng, Biwei Chen, Anjie Peng |
| 2022 | ICIP | An Enhanced Transferable Adversarial Attack of Scale-Invariant Methods. | Zhi Lin, Anjie Peng, Rong Wei, Wenxin Yu, Hui Zeng |
| 2022 | ICONIP | Countering the Anti-detection Adversarial Attacks. | Anjie Peng, Chenggang Li, Ping Zhu, Xiaofang Huang, Hui Zeng, Wenxin Yu |
| 2022 | ICONIP | Effect of Image Down-sampling on Detection of Adversarial Examples. | Anjie Peng, Chenggang Li, Ping Zhu, Zhiyuan Wu, Kun Wang, Hui Zeng, Wenxin Yu |
| 2022 | ICONIP | Towards Human Keypoint Detection in Infrared Images. | Zhilei Zhu, Wanli Dong, Xiaoming Gao, Anjie Peng, Yuqin Luo |
| 2021 | ICIP | Detecting C&W Adversarial Images Based on Noise Addition-Then-Denoising. | Kang Deng, Anjie Peng, Wanli Dong, Hui Zeng |
| 2020 | ICONIP | Gradient-Based Adversarial Image Forensics. | Anjie Peng, Kang Deng, Jing Zhang, Shenghai Luo, Hui Zeng, Wenxin Yu |
| 2020 | IWDW | ISO Setting Estimation Based on Convolutional Neural Network and its Application in Image Forensics. | Hui Zeng, Kang Deng, Anjie Peng |
| 2015 | ICIP | Countering anti-forensics of image resampling. | Anjie Peng, Hui Zeng, Xiaodan Lin, Xiangui Kang |
| 2012 | DCC | Scalable Lossy Compression for Pixel-Value Encrypted Images. | Xiangui Kang, Xianyu Xu, Anjie Peng, Wenjun Zeng |
| 2012 | IWDW | Robust Median Filtering Detection Based on Filtered Residual. | Anjie Peng, Xiangui Kang |