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cs.CV2026
One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models
Sudharshan Balaji, Yili Ren, Guangjing Wang +2
Machine unlearning is widely used to remove hazardous knowledge from large language models. Modern Vision-Language Models (VLMs), however, process both text and visual inputs, rais…
cs.CV2026
Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
Alabi Mehzabin Anisha, Guangjing Wang, Sriram Chellappan
State-of-the-art crowd counting and localization are primarily modeled using two paradigms: density maps and point regression. Given the field's security ramifications, there is ac…