Sybil Attacks on Federated Learning

Data Skeptic

Episode | Podcast

Date: Fri, 13 Nov 2020 18:25:16 +0000

<p>Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense against targeted sybil-based poisoning called FoolsGold.</p> <p><strong>Works Mentioned:</strong><br /> <a href="https://www.usenix.org/conference/raid2020/presentation/fung">The Limitations of Federated Learning in Sybil Settings</a></p> <p><strong>Twitter:</strong></p> <p>@clemfung</p> <p><strong>Website:</strong><br /> https://clementfung.github.io/</p> <p><strong>Thanks to our sponsors:</strong></p> <p>Brilliant - Online learning platform. Check out Geometry Fundamentals! Visit <a href="https://Brilliant.org/dataskeptic">Brilliant.org/dataskeptic</a> for 20% off Brilliant Premium!</p> <p><br /> BetterHelp - Convenient, professional, and affordable online counseling. Take 10% off your first month at <a href="https://betterhelp.com/dataskeptic">betterhelp.com/dataskeptic</a></p>