1 citations · 1 across the 4 of their papers we have counts for
10 papers
TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors
Xia Du, Zhuosen Bao, Zheng Lin +6
Recent diffusion models have achieved remarkable realism in facial image synthesis, posing growing challenges to artificial intelligence-generated content (AIGC) forensic detectors…
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
Weiwei Zhuang, Wangze Xie, Qi Zhang +9
Adversarial attacks pose a severe threat to the reliability of deep learning models in remote sensing (RS) image classification. Most existing methods rely on direct pixel-wise per…
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
Bo Du, Xuekang Zhu, Xiaochen Ma +6
The field of Fake Image Detection and Localization (FIDL) is highly fragmented, encompassing four domains: deepfake detection (Deepfake), image manipulation detection and localizat…
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
Jiajie Zhu, Xia Du, Xiaoyuan Liu +4
The rapid advancements in artificial intelligence have significantly accelerated the adoption of speech recognition technology, leading to its widespread integration across various…
Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning
Zhuohang Jiang, Bingkui Tong, Xia Du +2
The Privacy-sensitive Object Identification (POI) task allocates bounding boxes for privacy-sensitive objects in a scene. The key to POI is settling an object's privacy class (priv…
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
Zhuohang Jiang, Bingkui Tong, Xia Du +2
With the rise of social platforms, protecting privacy has become an important issue. Privacy object detection aims to accurately locate private objects in images. It is the foundat…