Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation

Zhenghao Gao; Shengjie Xu; Meixi Chen; Fangyao Zhao

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arXiv · 2412.15924

Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation

Zhenghao Gao·Shengjie Xu·Meixi Chen·Fangyao Zhao

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Abstract

Contemporary adversarial attack methods face significant limitations in cross-model transferability and practical applicability. We present Watertox, an elegant adversarial attack framework achieving remarkable effectiveness through architectural diversity and precision-controlled perturbations. Our two-stage Fast Gradient Sign Method combines uniform baseline perturbations ($\epsilon_1 = 0.1$) with targeted enhancements ($\epsilon_2 = 0.4$). The framework leverages an ensemble of complementary architectures, from VGG to ConvNeXt, synthesizing diverse perspectives through an innovative voting mechanism. Against state-of-the-art architectures, Watertox reduces model accuracy from 70.6% to 16.0%, with zero-shot attacks achieving up to 98.8% accuracy reduction against unseen architectures. These results establish Watertox as a significant advancement in adversarial methodologies, with promising applications in visual security systems and CAPTCHA generation.

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Zhenghao Gao, Shengjie Xu, Meixi Chen, Fangyao Zhao. 2024-12-20. Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation. https://arxiv.org/abs/2412.15924

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