Authors/Presenters: Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access.

Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

The post USENIX Security ’23 – *Distinguished Paper Award Winner* – Tight Auditing of Differentially Private Machine Learning appeared first on Security Boulevard.

Marc Handelman

Source: Security Boulevard
Source Link: https://securityboulevard.com/2024/02/usenix-security-23-distinguished-paper-award-winner-tight-auditing-of-differentially-private-machine-learning/