Earlier this year, Apple hosted the Workshop on Privacy-Preserving Machine Learning (PPML). This virtual event brought Apple and members of the academic research communities together to discuss the state of the art in the field of privacy-preserving machine learning through a series of talks and discussions over two days.
During this workshop, Salil Vadhan presented on Widespread Underestimation of Sensitivity in DP Libraries.
We are looking forward to the 2021 OpenDP Community Meeting. Mark your calendars, this year's community meeting will be held September 22-24 from 11 AM - 3 PM EST. Details of the event will be posted when they are finalized.
Alexandra Wood gave a presentation and participated as a discussant as part of the Brussels Privacy Hub Tech Talk series, in conversation with Prof. Gianclaudio Malgieri (EDHEC Augmented Law Institute, VUB) and Nirdhar Khazanie (Google Product Manager) on the topic of "Secure Multi-party Computing."
Details are available on the Brussels Privacy Hub web site: https://brusselsprivacyhub.eu/events/tech-talks.html
Differential privacy technology has passed a preliminary transition from being the subject of academic work to initial implementations by large organizations and high-tech companies that have the expertise to develop and implement customized differentially private methods. With a growing collection of software packages for generating differentially private releases from summary statistics to machine learning models, differential privacy is now transitioning to being usable more widely and by smaller organizations. This webinar explains how administrative data containing personal...