[論文筆記]UNDERSTANDING AND ENHANCING THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES(archive)
UNDERSTANDING AND ENHANCING THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES(archive) 文章簡介 在本研究中，作者系統地研究了兩類可能影響對抗性例子遷移能力的因素。 一是研究模型相關因素：network architecture, model capacity, test accuracy。 二是利用損失函數的局部光滑性設計
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相關文章
- 1. 【遷移攻擊筆記】梯度平滑攻擊！UNDERSTANDING AND ENHANCING THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES
- 2. The Limitations of Deep Learning in Adversarial Settings論文筆記
- 3. 論文筆記（四）《Adversarial Networks for the Detection of Aggressive Prostate Cancer》
- 4. 【論文閱讀筆記】Linguistic Knowledge and Transferability of Contextual Representations
- 5. 《Who’s Afraid of Adversarial Queries The Impact of Image》文獻閱讀筆記
- 6. [讀論文]通過中間層攻擊提高對抗樣本的遷移性(Enhancing Adversarial Example Transferability with an ILA)
- 7. 《EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES》論文筆記
- 8. Generative Adversarial Nets論文筆記
- 9. 論文筆記：Generative Adversarial Nets
- 10. PatentTips - Enhancing the usability of virtual machines