1. Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers
2. Raef Bassily , Adam Groce , Jonathan Katz , and Adam Smith . 2013 . Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy. In Symposium on Foundations of Computer Science (FOCS). 439–448 . https://doi.org/10.1109/FOCS.2013.54 10.1109/FOCS.2013.54 Raef Bassily, Adam Groce, Jonathan Katz, and Adam Smith. 2013. Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy. In Symposium on Foundations of Computer Science (FOCS). 439–448. https://doi.org/10.1109/FOCS.2013.54
3. Noiseless Database Privacy
4. Joy Buolamwini and Timnit Gebru . 2018 . Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification . In Proceedings of the 1st Conference on Fairness, Accountability and Transparency(FAT* ’18) . 77–91. Joy Buolamwini and Timnit Gebru. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency(FAT* ’18). 77–91.
5. Personal privacy vs population privacy