2 papers
cs.LG2026
Generalist Graph Anomaly Detection via Prototype-Based Distillation
Yiming Xu, Zihan Chen, Zhen Peng +4
Driven by the pressing demand for graph anomaly detection (GAD) in high-stakes domains, the generalist GAD paradigm, which trains a single detector transferable across new graphs,…
cs.CV2026
ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity
Hang Wang, Chao Shen, Lei Zhang +1
AI-generated videos (AIGVs) have achieved unprecedented photorealism, posing severe threats to digital forensics. Existing AIGV detectors focus mainly on localized artifacts or sho…