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Introduction
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Classroom Contents
Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples
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- 1 Introduction
- 2 Adversarial Examples
- 3 Why Care
- 4 What are Defenses
- 5 Adversarial Training
- 6 Thermometer Encoding
- 7 Input Transformation
- 8 Evaluating the robustness
- 9 Why are defenses easily broken
- 10 Lessons Learned
- 11 Adversary Training
- 12 Empty Set
- 13 Evaluating Adversely
- 14 Actionable Advice
- 15 Evaluation
- 16 Holding Out Data
- 17 FGSM
- 18 Gradient Descent
- 19 No Bounds
- 20 Random Classification
- 21 Negative Things
- 22 Evaluate Against the Worst Attack
- 23 Accuracy vs Distortion
- 24 Verification
- 25 Gradient Free
- 26 Random Noise
- 27 Conclusion
- 28 AES 1997
- 29 Attack success rates in insecurity
- 30 Why are we not yet crypto
- 31 How much we can prove
- 32 Still a lot of work to do
- 33 L2 Distortion
- 34 We dont know what we want
- 35 We dont have that today
- 36 Summary
- 37 Questions
