Completed
Concluding remarks
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Classroom Contents
Robustness Should Not Be at Odds with Accuracy - A Statistical Learning Theory Perspective
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- 1 Intro
- 2 Statistical Learning Theory
- 3 Adversarial Learning
- 4 Decomposition of the adversarial loss
- 5 Unexpected phenomena
- 6 Robustness at odds with accuracy
- 7 Choosing a suitable robustness parameter
- 8 The margin canonical Bayes predictor
- 9 Redefining the adversarial loss
- 10 Empirical adaptive robust loss
- 11 Adaptive robust data-augmentation
- 12 Adaptive data augmentation maintains consistency of
- 13 Concluding remarks
