Yihan Yan — accepted AI-conference papers

2026

AdvFM: Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial Examples

Runze Liu, Zeyue Wang, Fanghui Sun, Rui Liu, Yihan Yan, Shen Wang +1

CVPR 2026

Unrestricted adversarial attacks based on generative models typically operate either directly in image space or through diffusion-style denoising and re-noising, which limits transferability and robustness against defenses. We revisit this problem through the lens of flow matching and continuous-tim

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2026

Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample

Zhaoyang Zhang, Shen Wang, Runze Liu, Guopu Zhu, Fanghui Sun, Ye Lu +2

ICLR 2026poster

Adversarial attacks have achieved widespread success in various domains, yet existing methods suffer from significant performance degradation when adversarial examples are subjected to even minor disturbances. In this paper, we propose a novel and robust attack called IGSA (**I**nverse **G**radient…

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