
Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Robust Classifiers in Image Synthesis
This chapter explores the use of robust classifiers for image synthesis tasks like generation and super resolution, stressing the need for effective data representation. It discusses the relationship between model robustness and transferability, cautioning against reliance on non-generalizable patterns from specific datasets.
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