Author

Huaming Chen

2 papers indexed here

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Feb 2025

PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN

Deep neural networks are vulnerable to adversarial examples, posing serious security risks. While GAN-based attacks such as AdvGAN enable fast adversarial example generation, they typically operate in a single step, limiting attack effectiveness and transferability. In this work, we propose PAR-AdvGAN, a progressive au...

Jia-Yu Zhang, Zhi-Yu Zhu, Xin-Yi Wang et al. · ECML/PKDD · 5 citations · ⚡1

Preprint Aug 2026

FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment

Fraud robustness evaluation should report predictive degradation and attack feasibility jointly, and should incorporate domain constraints into attack generation rather than treating them as post-processing checks.

Xitong Zeng, Zhaoge Bi, Yi-Tian Yang et al. · 0 citations