WebRaef Bassily Assistant Professor [email protected] (614) 292-0248. Professional Website Assistant Professor, Computer Science and Engineering, College of Engineering ... Dr. Bassily’s research focuses on tackling current challenges in data analysis and machine learning especially those with direct impact on society such as privacy and ... WebJul 17, 2024 · Authors: Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta. Download a PDF of the paper titled Practical Locally Private Heavy Hitters, by Raef Bassily and 3 other authors. Download PDF

NSF Award Search: Award # 1908281 - AF: Small: Collaborative …

http://rbassily.eng.ucsd.edu/ WebJun 2, 2024 · Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah. We study the problem of approximating stationary points of Lipschitz and smooth functions under (\varepsilon,\delta) -differential privacy (DP) in both the finite ... bakedlake

Raef Bassily - Assistant Professor - The Ohio State …

WebRaef Bassily. Assistant Professor, Computer Science & Engineering, The Ohio State University. Verified email at osu.edu ... R Bassily, S Moran, I Nachum, J Shafer, A … Web2014; Bassily and Smith, 2015). Of relevance is the work in (Mishra and Sandler, 2006). We brie y report on the state of the art heavy hitters algorithms of Bassily and Smith (2015) and Thakurta et al. (2024), which are most relevant for the current work. Bassily and Smith provide matching lower and upper bounds of (p nlog(d)= ) on the worst ... WebRaef Bassily The Ohio State University Abstract We study the problem of estimating a set of d linear queries with respect to some unknown dis-tribution p over a domain J= [J] based on a sensitive data set of nindividuals under the con-straint of local differential privacy. This problem subsumes a wide range of estimation tasks, e.g., baked kielbasa sausage