6 papers
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
Yufan Liu, Wanqian Zhang, Huashan Chen +4
Despite rapid advancements in text-to-image (T2I) models, their safety mechanisms are vulnerable to adversarial prompts, which maliciously generate unsafe images. Current red-teami…
An Empirical Study on Virtual Reality Software Security Weaknesses
Yifan Xu, Jinfu Chen, Zhenyu Qi +5
Virtual Reality (VR) has emerged as a transformative technology across industries, yet its security weaknesses, including vulnerabilities, are underinvestigated. This study investi…
Uneven Event Modeling for Partially Relevant Video Retrieval
Sa Zhu, Huashan Chen, Wanqian Zhang +4
Given a text query, partially relevant video retrieval (PRVR) aims to retrieve untrimmed videos containing relevant moments, wherein event modeling is crucial for partitioning the…
DynamicLip: Shape-Independent Continuous Authentication via Lip Articulator Dynamics
Huashan Chen, Yifan Xu, Yue Feng +6
Biometrics authentication has become increasingly popular due to its security and convenience; however, traditional biometrics are becoming less desirable in scenarios such as new…
Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
Huashan Chen, Zisheng Huang, Yifan Xu +6
Code cloning is frequently observed in software development, often leading to a variety of maintenance and security issues. While substantial research has been conducted on code cl…
PhysDepth: Plug-and-Play Physical Refinement for Monocular Depth Estimation in Challenging Environments
Kebin Peng, Haotang Li, Zhenyu Qi +6
State-of-the-art monocular depth estimation (MDE) models often struggle in challenging environments, primarily because they overlook robust physical information. To demonstrate thi…