GAN-Challenge

I designed this Challenge for you and me: Learn GAN in Depth in 60 days!!

Index

• Week 1 - Introduction
• Week 2 - Solving the inner maximization, outer minimization
• Week 3 - Beyond adversaries

Week 1 - Introduction

Many papers present an attack or defense in terms of the method it uses, rather than the problem (meaning, optimization problem) it solves.

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Theoretical material

• Reading:
  • Chapter 1, 2 Adversarial Robustness - Theory and Practice
• Key words:
  • Targeted attacks
  • Risk, Adversarial risk.
  • mix-max problem.

Project of the Week

• Exercise in chapter 1 and 2.

Week 2 - Solving the inner maximization, outer minimization

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Theoretical material

• Reading:
  • Chapter 3, 4 Adversarial Robustness - Theory and Practice

Project of the Week

• Exercise in chapter 3 and 4.

Week 3 - Beyond adversaries

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• Reading:
  • Chapter 5 Adversarial Robustness - Theory and Practice

Project of the Week

• Exercise in chapter 5.

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Book:

• Adversarial Robustness - Theory and Practice

Course:

• http://www.cs.toronto.edu/~duvenaud/courses/csc2541/

Reference link:

• https://www.jishuwen.com/d/2tL0/zh-tw
• https://blog.floydhub.com/gans-story-so-far/
• http://www.codingwoman.com/generative-adversarial-networks-paper-reading-road-map/
• https://medium.com/nurture-ai/keeping-up-with-the-gans-66e89343b46
• https://openai.com/blog/generative-models/