Readings on: Security of machine learning

Main reading for 4/24:
Nicholas Carlini and David Wagner. “Towards Evaluating the Robustness of Neural Networks.” In IEEE Symposium on Security and Privacy (“Oakland”), pages 1041–1057, San Jose, CA, USA, May 2017.
[IEEE]

Main reading for 4/26:
Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, and Úlfar Erlingsson. “Scalable Private Learning with PATE.” In International Conference on Learning Representations (ICLR), Vancouver BC, Canada, May 2018. (Skip appendixes.)
[OpenReview]