2 citations · 2 across the 7 of their papers we have counts for
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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…
SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network
Jun-Jie Huang, Zihan Chen, Tianrui Liu +5
Existing image steganography methods face fundamental limitations in hiding capacity (typically images) due to severe information interference and uncoordinated capacity-d…
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…
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen, Ziyue Wang, Junjie Huang +3
Adding perturbations via utilizing auxiliary gradient information or discarding existing details of the benign images are two common approaches for generating adversarial examples.…