Tongrui Su — accepted AI-conference papers

2026

RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning

Tongrui Su, Qingbin Li, Shengyu Zhu, Wei Chen, Xueqi Cheng

CVPR 2026

Compared to untargeted attacks, targeted transfer-based attack still suffers from much lower Attack Success Rates (ASRs), although significant improvements have been achieved by kinds of methods, such as diversifying input, stabilizing the gradient, and re-training surrogate models. In this paper, w

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2024

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation

Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li

NeurIPS 2024poster

Capitalizing on the complementary advantages of generative and discriminative models has always been a compelling vision in machine learning, backed by a growing body of research. This work discloses the hidden semantic structure within score-based generative models, unveiling their potential as eff…

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