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cs.CV2025
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…
cs.CV2025
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…
cs.CV2025
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…