4 papers
Not Every Cue Is Evidence: Cue Supportability for Forensic Distillation in Face Forgery Detection
Binjia Zhou, Dawei Luo, Shuai Chen +7
Explainable face forgery detection requires not only correct judgments but also forensic evidence supported by the input image. However, training cues are typically derived from th…
EvolveReason: Self-Evolving Reasoning Paradigm for Explainable Deepfake Facial Image Identification
Binjia Zhou, Dawei Luo, Shuai Chen +7
With the rapid advancement of AIGC technology, developing identification methods to address the security challenges posed by deepfakes has become urgent. Face forgery identificatio…
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
Binjia Zhou, Hengrui Lou, Lizhe Chen +6
With the swift progression of image generation technology, the widespread emergence of facial deepfakes poses significant challenges to the field of security, thus amplifying the u…
PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression
Lizhe Chen, Binjia Zhou, Yuyao Ge +2
Large language models (LLMs) have achieved remarkable progress, demonstrating unprecedented capabilities across various natural language processing tasks. However, the high costs a…