3 citations · 14 across the 36 of their papers we have counts for
18 papers · 1 filter
MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models
Bei Yan, Jie Zhang, Zhiyuan Chen +2
The rapid integration of Large Vision-Language Models (LVLMs) into critical domains necessitates comprehensive moral evaluation to ensure their alignment with human values. While e…
Multi-PA: A Multi-perspective Benchmark on Privacy Assessment for Large Vision-Language Models
Jie Zhang, Xiangkui Cao, Zhouyu Han +2
Large Vision-Language Models (LVLMs) exhibit impressive potential across various tasks but also face significant privacy risks, limiting their practical applications. Current resea…
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
Xingming Long, Jie Zhang, Shiguang Shan +1
The primary goal of out-of-distribution (OOD) detection tasks is to identify inputs with semantic shifts, i.e., if samples from novel classes are absent in the in-distribution (ID)…
Confidence Aware Learning for Reliable Face Anti-spoofing
Xingming Long, Jie Zhang, Shiguang Shan
Current Face Anti-spoofing (FAS) models tend to make overly confident predictions even when encountering unfamiliar scenarios or unknown presentation attacks, which leads to seriou…
Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
Zonghui Guo, Yingjie Liu, Jie Zhang +2
Face Forgery Detection (FFD), or Deepfake detection, aims to determine whether a digital face is real or fake. Due to different face synthesis algorithms with diverse forgery patte…
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
Zhongqi Wang, Jie Zhang, Shiguang Shan +1
While text-to-image diffusion models demonstrate impressive generation capabilities, they also exhibit vulnerability to backdoor attacks, which involve the manipulation of model ou…