58 citations · 116 across the 12 of their papers we have counts for
6 papers · 1 filter
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
Haitong Liu, Kuofeng Gao, Yang Bai +4
Recently, video-based large language models (video-based LLMs) have achieved impressive performance across various video comprehension tasks. However, this rapid advancement raises…
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs
Jinmin Li, Kuofeng Gao, Yang Bai +2
The advent of video-based Large Language Models (LLMs) has significantly enhanced video understanding. However, it has also raised some safety concerns regarding data protection, a…
FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
Jinmin Li, Kuofeng Gao, Yang Bai +3
Despite the remarkable performance of video-based large language models (LLMs), their adversarial threat remains unexplored. To fill this gap, we propose the first adversarial atta…
Backdoor Defense via Adaptively Splitting Poisoned Dataset
Kuofeng Gao, Yang Bai, Jindong Gu +2
Backdoor defenses have been studied to alleviate the threat of deep neural networks (DNNs) being backdoor attacked and thus maliciously altered. Since DNNs usually adopt some exter…
Adaptive Frequency Learning in Two-branch Face Forgery Detection
Neng Wang, Yang Bai, Kun Yu +3
Face forgery has attracted increasing attention in recent applications of computer vision. Existing detection techniques using the two-branch framework benefit a lot from a frequen…
Adversarial Defense via Local Flatness Regularization
Jia Xu, Yiming Li, Yong Jiang +1
Adversarial defense is a popular and important research area. Due to its intrinsic mechanism, one of the most straightforward and effective ways of defending attacks is to analyze…