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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Si-Yuan Liang

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2 papers indexed here

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Open access Oct 2026

Less Is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection.

To develop a trustworthy AI system, it is essential to understand its behavior using attribution methods, which aim to identify the input regions that most influence the model's decisions. For discrete inputs such as images, however, accurately identifying input prediction interactions is particularly challenging becau...

Ruo-Yu Chen, Si-Yuan Liang, Jing-Zhi Li et al. · 7 citations
Sep 2025

Text Adversarial Attacks with Dynamic Outputs

To improve attack effectiveness, the farthest-label targeted attack strategy is proposed, which selects adversarial vectors that deviate most from the model's coarse-grained labels, thereby maximizing disruption.

Wen-Qiang Wang, Si-Yuan Liang, Yan Xiao et al. · 0 citations

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