3 papers
cs.CV2026
AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM
Li'an Zhong, Ziqiang He, Jibin Zheng +3
Hallucination has been a significant impediment to the development and application of current Large Vision-Language Models (LVLMs). To mitigate hallucinations, one intuitive and ef…
cs.LG2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li, Ziqiang He, Anwei Luo +3
Imperceptible adversarial attacks aim to fool DNNs by adding imperceptible perturbation to the input data. Previous methods typically improve the imperceptibility of attacks by int…
cs.LG2025
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
Jin Li, Zitong Yu, Ziqiang He +2
Imperceptible adversarial attacks have recently attracted increasing research interests. Existing methods typically incorporate external modules or loss terms other than a simple $…