5 papers
VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection
Wenxin Tang, Xiang Zhang, Junliang Liu +11
Automated vulnerability detection is a fundamental task in software security, yet existing learning-based methods still struggle to capture the structural dependencies, domain-spec…
DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
Wenxin Tang, Wenbin Li, Junliang Liu +10
Software vulnerability detection plays a critical role in ensuring system security, where real-world auditing requires not only determining whether a function is vulnerable but als…
Context-Free Grammar Inference for Complex Programming Languages in Black Box Settings
Feifei Li, Xiao Chen, Xiaoyu Sun +5
Grammar inference for complex programming languages remains a significant challenge, as existing approaches fail to scale to real world datasets within practical time constraints.…
FMVP: Masked Flow Matching for Adversarial Video Purification
Duoxun Tang, Xueyi Zhang, Chak Hin Wang +6
Video recognition models remain vulnerable to adversarial attacks, while existing diffusion-based purification methods suffer from inefficient sampling and curved trajectories. Dir…
FeatureFool: Zero-Query Fooling of Video Models via Feature Map
Duoxun Tang, Xi Xiao, Guangwu Hu +6
The vulnerability of deep neural networks (DNNs) has been preliminarily verified. Existing black-box adversarial attacks usually require multi-round interaction with the model and…