WebDr. 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 security. Most … WebMar 14, 2024 · Model-Agnostic Private Learning via Stability. Raef Bassily, Om Thakkar, Abhradeep Thakurta. We design differentially private learning algorithms that are agnostic to the learning model. Our algorithms are interactive in nature, i.e., instead of outputting a model based on the training data, they provide predictions for a set of feature vectors ...
HW2.pdf - CSE 5523: HW2 Outline • You are to implement: o...
http://proceedings.mlr.press/v80/ma18a.html WebAnupama Nandi, Raef Bassily. Proceedings of the 31st International Conference on Algorithmic Learning Theory, PMLR 117:687-703, 2024. Abstract. We revisit the problem … mod pizza hull street chesterfield va
Bassily, Raef COLLEGE OF ENGINEERING
Web%0 Conference Paper %T The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning %A Siyuan Ma %A Raef Bassily %A Mikhail Belkin %B Proceedings of the 35th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2024 %E Jennifer Dy %E Andreas Krause … WebRaef Bassily, Mehryar Mohri, and Ananda Theertha Suresh. Differentially private learning with margin guarantees. In Advances in Neural Information Processing Systems (NeurIPS 2024). New Orleans, Louisiana, 2024. MIT Press. Pranjal Awasthi, Anqi Mao, Mehryar Mohri, and Yutao Zhong. Multi-class H-consistency bounds. 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., mod pizza friendswood tx