Award Papers
We are proud to announce the following papers that have been recognized with awards at the Deepfake Workshop 2025. Congratulations to all the award-winning authors!
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Best Paper Award
Human Action CLIPs: Detecting AI-Generated Human Motion
Matyas Bohacek and Hany Farid -
Best Student Paper Award
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
Hao Cheng, Erjia Xiao, Yichi Wang, Lingfeng Zhang, Qiang Zhang, Jiahang Cao, Kaidi Xu, Mengshu Sun, Xiaoshuai Hao, Jindong Gu and Renjing Xu -
Best Paper Candidate
Synlab: A Spatio-Temporal Aggregation Framework for Collaborative Visual Misinformation Detection in Videos
Shuning Zhang, Linzhi Wang, Ruokai Zhao, Yiqun Xu, Yuanyuan Wu, Yabo Wang, Simin Li, Xin Yi and Hewu Li
Accepted Papers List
Below are the accepted papers for the Deepfake Workshop 2025. Click each link to view or download the full PDF.
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An End-to-End Framework for Joint Deepfake Detection and Fine-Grained Localization
Haotian Liu, Chenhui Pan, Ying Chen, Changfa Mo, Guoying Zhao and Xiaobai Li -
Human Action CLIPs: Detecting AI-Generated Human Motion
Matyas Bohacek and Hany Farid -
Explainable Deepfake Detection: A Survey of Methods and Trends
Lifu Huang and Yuanbiao Gou -
Mesoscopic Artifact Learning-based Facial Forgery Detection and Localization for IJCAI 2025 DDL-I Challenge
Wei Li, Chujie Tang, Jiang Yuan, Zhonghua Zhao and Bo Wang -
ERF-BA-TFD+: A Multimodal Model for Audio-Visual Deepfake Detection
Xin Zhang, Jiaming Chu, Jian Zhao, Yuchu Jiang, Xu Yang, Lei Jin, Chi Zhang and Xuelong Li -
Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection
Yuchu Jiang, Jiaming Chu, Jian Zhao, Yuer Li, Xin Zhang, Xinru Wang, Mingxing Yuan, Xu Yang, Lei Jin, Chi Zhang and Xuelong Li -
Divide and Conquer: Multimodal Video Deepfake Detection via Cross-Modal Fusion and Localization
Qingcao Li, Miao He, Liang Yi, Qing Wen, Yitao Zhang, Hongshuo Jin, PengCheng, Zhongjie Ba, Li Lu and Kui Ren -
Multi-modal Deepfake Detection and Localization with FPN-Transformer
Chende Zheng, Ruiqi Suo, Zhoulin Ji, Jingyi Deng, Fangbin Yi, Chenhao Lin and Chao Shen -
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
Hao Cheng, Erjia Xiao, Yichi Wang, Lingfeng Zhang, Qiang Zhang, Jiahang Cao, Kaidi Xu, Mengshu Sun, Xiaoshuai Hao, Jindong Gu and Renjing Xu -
Explainable AIGC Misinformation Video Identification Via Vision-based Language Models With Human-initiated Insights
Shuning Zhang, Yiqun Xu, Ruokai Zhao, Yuanyuan Wu, Yabo Wang, Linzhi Wang, Simin Li, Xin Yi and Hewu Li -
Morphology-optimized Multi-Scale Fusion: Combining Local Artifacts and Mesoscopic Semantics for Deepfake Detection and Localization
Chao Shuai, Gaojian Wang, Kun Pan, Tong Wu, Fanli Jin, Haohan Tan, Mengxiang Li, Zhenguang Liu, Feng Lin and Kui Ren -
Synlab: A Spatio-Temporal Aggregation Framework for Collaborative Visual Misinformation Detection in Videos
Shuning Zhang, Linzhi Wang, Ruokai Zhao, Yiqun Xu, Yuanyuan Wu, Yabo Wang, Simin Li, Xin Yi and Hewu Li -
Contrastive Residual Network with Sliding-Window Fusion for Precise Deepfake Detection and Localization
Yilin Wang, Zunlei Feng and Yijun Bei -
Jailbreak Attacks on Text-to-Image Models via Chain-of-Thought Prompting
Jingqi Hu, Li Li, Guorui Feng and Xinpeng Zhang -
Vulnerability Mining in Generative Models: Risk-Concretization and Sequence Confusion Jailbreak Attacks
Haoming Yang, Ke Ma, Xiaohai Xu, Ligong Zhang, Xiaojun Jia, Qianqian Xu and Qingming Huang -
Jailbreaking Generative Large Models: A Comprehensive Approach in the IJCAI 2025 Security Competition
Zhiyi Yang, Yu Cui, Da Zhu, Zhou Ke, Jun Ni and Enze Wang -
A Dual-Stage Chinese Instruction Jailbreaking Framework for Generative Large Language Models
Yingkun Huang, Shihao Song, Feng Mao, Jun Wu and Mian Fang -
VacuousAttack: An Efficient and Robust Prompt-based Jailbreak Framework for Diverse Generative AI Models
Yuanbo Xie, Tianyun Liu, Zhenlu Tan, Duohe Ma and Tingwen Liu