2 papers
cs.CV2026
Explainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimization
Zhu Xu, Jiaqi Tang, Pokai Chen +2
Explainable deepfake detection extends binary classification by requiring models to not only predict authenticity but also provide interpretable justifications. This expanded scope…
cs.LG2026
Every Component Is a Lookup: One Linear Graph for Interaction, Composition and Attribution
Po-Kai Chen, Aske Plaat, Niki van Stein
Interpretability methods for transformers are typically built around separate questions: which components interact, how information routes to the output, and which input tokens con…