A Demo for Image-Based Personality Test. - Huaiwen Zhang; Jiaming Zhang 006; Jitao Sang; Changsheng Xu (MMM (2), 2017)

Attention, Please! Adversarial Defense via Attention Rectification and Preservation. - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang 006; Yanfeng Sun; Liping Jing; Jian Yu 001 (CoRR, 2018)

blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness. - Jiaming Zhang 006; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Yongli Hu; Yanfeng Sun; Jian Yu 001 (CoRR, 2019)

Adversarial Privacy-preserving Filter. - Jiaming Zhang 006; Jitao Sang; Xian Zhao; Xiaowen Huang 001; Yanfeng Sun; Yongli Hu (ACM Multimedia, 2020)

Trustworthy Multimedia Analysis. - Xiaowen Huang 001; Jiaming Zhang 006; Yi Zhang 101; Xian Zhao; Jitao Sang (ACM Multimedia, 2021)

APF: An Adversarial Privacy-preserving Filter to Protect Portrait Information. - Xian Zhao; Jiaming Zhang 006; Xiaowen Huang 001 (ACM Multimedia, 2021)

Pre-training also Transfers Non-Robustness. - Jiaming Zhang 006; Jitao Sang; Qi Yi; Huiwen Dong; Jian Yu 001 (CoRR, 2021)

Benign Adversarial Attack: Tricking Algorithm for Goodness. - Xian Zhao; Jiaming Zhang 006; Zhiyu Lin; Jitao Sang (CoRR, 2021)

Robust CAPTCHAs Towards Malicious OCR. - Jiaming Zhang 006; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Xian Zhao; Yanfeng Sun; Yongli Hu; Jian Yu 001 (IEEE Trans. Multim., 2021)

Benign Adversarial Attack: Tricking Models for Goodness. - Jitao Sang; Xian Zhao; Jiaming Zhang 006; Zhiyu Lin (ACM Multimedia, 2022)

Towards Adversarial Attack on Vision-Language Pre-training Models. - Jiaming Zhang 006; Qi Yi; Jitao Sang (ACM Multimedia, 2022)

JPEG Compression-Resistant Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System. - Jiaming Zhang 006; Qi Yi; Jitao Sang (CoRR, 2022)

ImageNet Pre-training Also Transfers Non-robustness. - Jiaming Zhang 006; Jitao Sang; Qi Yi; Yunfan Yang; Huiwen Dong; Jian Yu 001 (AAAI, 2023)

Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples. - Jiaming Zhang 006; Xingjun Ma; Qi Yi; Jitao Sang; Yu-Gang Jiang 001; Yaowei Wang 001; Changsheng Xu (CVPR, 2023)

Introducing Foundation Models as Surrogate Models: Advancing Towards More Practical Adversarial Attacks. - Jiaming Zhang 006; Jitao Sang; Qi Yi; Changsheng Xu (CoRR, 2023)

Attention, Please! Adversarial Defense via Activation Rectification and Preservation. - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang 006; Jian Yu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Low-mid adversarial perturbation against unauthorized face recognition system. - Jiaming Zhang 006; Qi Yi; Dongyuan Lu; Jitao Sang (Inf. Sci., 2023)

Adversarial Prompt Tuning for Vision-Language Models. - Jiaming Zhang 006; Xingjun Ma; Xin Wang 119; Lingyu Qiu; Jiaqi Wang 003; Yu-Gang Jiang 001; Jitao Sang (ECCV (45), 2024)

AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Jitao Sang; Dit-Yan Yeung (CoRR, 2024)

Debiasing Vison-Language Models with Text-Only Training. - Yunfan Yang; Chaoquan Jiang; Zhiyu Lin; Jinlin Xiao; Jiaming Zhang 006; Jitao Sang (CoRR, 2024)

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models. - Yige Li; Hanxun Huang; Jiaming Zhang 006; Xingjun Ma; Yu-Gang Jiang 001 (CoRR, 2024)

TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models. - Xin Wang 119; Kai Chen 027; Jiaming Zhang 006; Jingjing Chen 001; Xingjun Ma (CVPR, 2025)

Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Yunhao Chen; Jitao Sang; Dit-Yan Yeung (CVPR, 2025)

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models. - Jiaming Zhang 006; Xin Wang 119; Xingjun Ma; Lingyu Qiu; Yu-Gang Jiang; Jitao Sang (CoRR, 2025)