我是靠谱客的博主 聪明羊,这篇文章主要介绍Group Seminar:L2范数、欧式空间、高斯分布和PCA;深度模型的攻击与防御,现在分享给大家,希望可以做个参考。

注: 本文是作者的自我总结,主要作为个人总结记录, 欢迎大家批评,交流. https://zhouxiaowei1120.github.io/#blogs

https://github.com/zhouxiaowei1120/UTSseminar/blob/master/Seminar 2019.2.9.md

Topic 1:L2 norm and Gaussian Distribution

  1. norm and distance https://blog.csdn.net/gongem/article/details/51131397
  2. Gaussian distribution https://www.jianshu.com/p/84afcb83a03c
  3. PCA and data distribution (Gaussian) https://book.douban.com/annotation/22351713/
  4. Gaussian and L2 distance https://blog.csdn.net/neu_chenguangq/article/details/79288905 https://discuss.gluon.ai/t/topic/1793/2 https://blog.csdn.net/qq_28038207/article/details/81006453
  5. variance and distance https://www.cnblogs.com/nolonely/p/6477248.html

Topic 2:attack and defence

  1. Adversarial Attacks and Defences: A Survey https://arxiv.org/abs/1810.00069

    • Evasion Attack:
    • Poisoning Attack:
    • Exploratory Attack:
    • Training Phase Capabilities.
      • Data Injection:
      • Data Modification
      • Logic Corruption
    • Testing Phase Capabilities:
      • White-Box Attacks
      • Black-Box Attacks
        • Non-Adaptive Black-Box Attack:
        • Adaptive Black-Box Attack:
        • Strict Black-Box Attack:

    Adversarial Goals:

    • Confidence Reduction
    • Misclassification
    • Targeted Misclassification
    • Source/Target Misclassification

最后

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