9 papers
MVAD: A Benchmark Dataset for Multimodal AI-Generated Video-Audio Detection
Mengxue Hu, Yunfeng Diao, Changtao Miao +7
The rapid advancement of AI-generated multimodal video-audio content has raised significant concerns regarding information security and content authenticity. Existing synthetic vid…
LaV-CoT: Language-Aware Visual CoT with Multi-Aspect Reward Optimization for Real-World Multilingual VQA
Jing Huang, Zhiya Tan, Shutao Gong +6
As large vision language models (VLMs) advance, their capabilities in multilingual visual question answering (mVQA) have significantly improved. Chain-of-thought (CoT) reasoning ha…
DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning
Fanwei Zeng, Changtao Miao, Jing Huang +9
The rapid progress of generative AI has enabled increasingly realistic text-centric image forgeries, posing major challenges to document safety. Existing forensic methods mainly re…
LogicLens: Visual-Logical Co-Reasoning for Text-Centric Forgery Analysis
Fanwei Zeng, Changtao Miao, Jing Huang +7
Sophisticated text-centric forgeries, fueled by rapid AIGC advancements, pose a significant threat to societal security and information authenticity. Current methods for text-centr…
DDL: A Large-Scale Datasets for Deepfake Detection and Localization in Diversified Real-World Scenarios
Changtao Miao, Yi Zhang, Weize Gao +11
Recent advances in AIGC have exacerbated the misuse of malicious deepfake content, making the development of reliable deepfake detection methods an essential means to address this…
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen, Shikun Sun, Jianshu Li +3
Adversarial attacks are widely used to evaluate model robustness, and in black-box scenarios, the transferability of these attacks becomes crucial. Existing generator-based attacks…