most citedSynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data

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cs.CV2026

Can Vision-Language Models Reason about AI Edits in Images?

Darsha Udayanga, Pin-Yu Chen, Payel Das +1

Detection and localization of AI-tampered images are critical for trustworthy AI, yet modern generative models have made such manipulations increasingly difficult to identify. Whil…

cs.CV2022

When Neural Networks Fail to Generalize? A Model Sensitivity Perspective

Jiajin Zhang, Hanqing Chao, Amit Dhurandhar +4

Domain generalization (DG) aims to train a model to perform well in unseen domains under different distributions. This paper considers a more realistic yet more challenging scenari…