Face Forgery Video Detection is a critical yet challenging task in determining whether a digital facial video is authentic or forged. Existing methods often rely on isolated spatial or coarsely fused spatio-temporal features, which are insufficient to mine spatio-temporal forgery cues and lead to unsatisfactory general...
Ying-Jie Liu, Zong-Hui Guo, Xi-Meng Li et al.· IEEE Transactions on Pattern...· 0 citations
Advances in multimodal understanding, reasoning, and tool use enable agents to tackle increasingly complex visual reasoning tasks. By distilling past execution experience into reusable skills, agents can transfer lessons from both successes and failures into future reasoning, reducing repeated errors and improving capa...
Bei Yan, Yue-Cong Min, Jie Zhang et al.· 0 citations
As image generation and editing technologies have progressed substantially, facial forgeries pose significant challenges to privacy and public safety. Due to limited ability to capture forgery cues, existing small-scale forgery detection models often struggle to generalize across various domains and unseen manipulation...
Feng-Ming Gu, Ming-Jie He, Zong-Hui Guo et al.· 0 citations
This work proposes a fine-grained alignment framework that couples dense reward signals at the data level with precise credit assignment at the algorithmic level to prevent response-level shared advantages from allowing local hallucinations to compromise all other valid outputs within the same response.
Xing-Ming Long, Jie Zhang, Yue-Cong Min et al.· 0 citations
Backdoor as Probe is proposed, a test-time adversarial defense for CLIP that improves average robust accuracy from 1.0\% to 52.3\% while retaining clean accuracy, achieving performance comparable to state-of-the-art methods with up to a \(5.7\times\) inference speedup.
Zhong Ling Wang, Jie Zhang, Sen Nie et al.· 0 citations
Adversarial attacks have long posed a fundamental threat to machine learning systems. As multimodal large language models (MLLMs) rapidly evolve and become widely deployed, assessing their vulnerability to such attacks is essential for their safe use. In this work, we investigate whether a single adversarial image can...
Sen Nie, Jie Zhang, Zhong Ling Wang et al.· 0 citations
