290 citations · 1.2k across the 32 of their papers we have counts for
11 papers · 1 filter
SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization
Peiyu Zhuang, Jianquan Yang, Haodong Li +6
Text-driven image editing has advanced rapidly, but reliably localizing these manipulations requires image manipulation localization (IML) models trained on large pixel-annotated d…
Adversarial Attacks Against MLLMs via Progressive Resolution Processing and Adaptive Feature Alignment
Haobo Wang, Xiaorong Ma, Weiqi Luo +2
Adversarial perturbations can mislead Multimodal Large Language Models (MLLMs) recognize a benign image as a specific target object, posing serious risks in safety-critical scenari…
Redundant Semantic Environment Filling via Misleading-Learning for Fair Deepfake Detection
Xinan He, Yue Zhou, Shu Hu +3
Detecting falsified faces generated by Deepfake technology is essential for safeguarding trust in digital communication and protecting individuals. However, current detectors often…
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo, Shenghai Luo, Shunquan Tan +3
Anti-forensics seeks to eliminate or conceal traces of tampering artifacts. Typically, anti-forensic methods are designed to deceive binary detectors and persuade them to misjudge…
ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization
Peiyu Zhuang, Haodong Li, Rui Yang +1
With the spread of tampered images, locating the tampered regions in digital images has drawn increasing attention. The existing image tampering localization methods, however, suff…
Forensicability Assessment of Questioned Images in Recapturing Detection
Changsheng Chen, Lin Zhao, Rizhao Cai +3
Recapture detection of face and document images is an important forensic task. With deep learning, the performances of face anti-spoofing (FAS) and recaptured document detection ha…