3 papers
cs.CV2026
IDATA: Scalable Invertible Diffusion for Unrestricted Adversarial Transfer Attack
Yi Pan, Jun-Jie Huang, Tianrui Liu +3
Unrestricted adversarial transfer attacks are important for evaluating the black-box robustness of deep visual models. Diffusion-based attacks have shown promising transferability…
cs.AI2026
MissClick: Exploiting Digit-Serialized Coordinates to Attack GUI Grounding Models
Yu Ran, Wentao Zhao, Xin Zhang +1
Recent GUI visual grounding models generate screen coordinates as sequences of digit tokens that are parsed into numerical values and mapped to executable clicks. The security impl…
cs.CV2024
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks
Yi Pan, Jun-Jie Huang, Zihan Chen +2
Robust and imperceptible adversarial video attack is challenging due to the spatial and temporal characteristics of videos. The existing video adversarial attack methods mainly tak…