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cs.CV2026

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…

cs.CV2026

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness

Yusheng He, Jizhe Zhou, Xia Du +3

Hallucination remains one of the key challenges undermining the reliability of Large Vision-Language Models (LVLMs). But what makes an LVLM hallucinate less? Many existing efforts…

cs.CV2026

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…

cs.CV2026

SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy

Zhuosen Bao, Xia Du, Zheng Lin +8

With the deep integration of facial recognition into online banking, identity verification, and other networked services, achieving effective decoupling of identity information fro…

cs.CV2025

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation

Xia Du, Xiaoyuan Liu, Jizhe Zhou +7

Traditional CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) schemes are increasingly vulnerable to automated attacks powered by deep neural net…