Four short links: 31 July 2019

Provably Correct AI, Porn & Privacy, Math for CS and ML, and Xenophobia Classifier

By Nat Torkington
July 31, 2019
Four Short Links
  1. ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks — provably correct neural networks, now there’s an interesting idea …
  2. Tracking Sex: The Implications of Widespread Sexual Data Leakage and Tracking on Porn WebsitesOur analysis of 22,484 pornography websites indicated that 93% leak user data to a third party. Tracking on these sites is highly concentrated by a handful of major companies, which we identify. We successfully extracted privacy policies for 3,856 sites, 17% of the total. The policies were written such that one might need a two-year college education to understand them. Our content analysis of the sample’s domains indicated 44.97% of them expose or suggest a specific gender/sexual identity or interest likely to be linked to the user.
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  4. Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning — a 1962-page LaTeX book which some wag listed as Math Basics for CS and ML on Hacker News.
  5. Open-Source Xenophobia Classifier for Tweets — source is a Colab notebook and they make their labeled training data available too.
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