主页 / 第一届国际云安全大会 / Defending Machine Learning against Adversarial Attacks
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作者澳大利亚两院院士 Ramamohanarao Kotagiri
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简介
- Deep Learning and Applications
- A Brief Overview of Deep Learning
- Adversarial and Fooling Samples
- Adversarial Noise
- Fooling Samples
- Training Robust Neural Networks(ICPR'16)
- The Random Projection Regularizer
- Intrinsic Dimensionality and Adversarial Robustness
- Deep Learning and Applications
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援引http://www.icsc-csa.com/
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Adversarial_learningCSC.pdf