FOSAD Trustworthy Machine Learning Mini-Course

I taught a mini-course on Trustworthy Machine Learning at the 19th International School on Foundations of Security Analysis and Design in Bertinoro, Italy.

Slides from my three (two-hour) lectures are posted below, along with some links to relevant papers and resources.

Class 1: Introduction/Attacks

The PDF malware evasion attack is described in this paper:

Weilin Xu, Yanjun Qi, and David Evans. Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers. Network and Distributed System Security Symposium (NDSS). San Diego, CA. 21-24 February 2016. [PDF] [EvadeML.org]

Class 2: Defenses

This paper describes the feature squeezing framework:

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