Bargav Jayaraman presented our paper on Evaluating Differentially Private Machine Learning in Practice at the 28th USENIX Security Symposium in Santa Clara, California.
Summary by Lea Kissner: Hey it's the results! pic.twitter.com/ru1FbkESho
— Lea Kissner (@LeaKissner) August 17, 2019
Also, great to see several UVA folks at the conference including:
Sam Havron (BSCS 2017, now a PhD student at Cornell) presented a paper on the work he and his colleagues have done on computer security for victims of intimate partner violence.
Sam Havron (BSCS 2017) is quoted in an article in Wired on eradicating stalkerware:
The full extent of that stalkerware crackdown will only prove out with time and testing, says Sam Havron, a Cornell researcher who worked on last year’s spyware study. Much more work remains. He notes that domestic abuse victims can also be tracked with dual-use apps often overlooked by antivirus firms, like antitheft software Cerberus. Even innocent tools like Apple’s Find My Friends and Google Maps’ location-sharing features can be abused if they don’t better communicate to users that they may have been secretly configured to share their location.