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Unleashing the Power of Convolutional Neural Networks for Profiled Side-Channel Attacks

Unleashing the Power of Convolutional Neural Networks for Profiled Side-Channel Attacks

TheIACR via YouTube Direct link

Data augmentation

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Data augmentation

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Unleashing the Power of Convolutional Neural Networks for Profiled Side-Channel Attacks

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  1. 1 Introduction
  2. 2 Motivation
  3. 3 Setting
  4. 4 Template Attack
  5. 5 Deep Learning
  6. 6 Universal approximation theorem
  7. 7 Design principle
  8. 8 Architecture
  9. 9 Noise
  10. 10 Data augmentation
  11. 11 Results
  12. 12 Example
  13. 13 Conclusions
  14. 14 Questions

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