ML Anthology

Smith, Adam

26 publications

ICML 2025 It’s My Data Too: Private ML for Datasets with Multi-User Training Examples Arun Ganesh, Ryan Mckenna, Hugh Brendan Mcmahan, Adam Smith, Fan Wu
AISTATS 2025 Privacy in Metalearning and Multitask Learning: Modeling and Separations Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg, Jonathan Ullman
ICLR 2025 The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis
NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks Róbert István Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
COLT 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract Gavin Brown, Jonathan Hayase, Samuel Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C Perdomo, Adam Smith
COLT 2024 Metalearning with Very Few Samples per Task Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro, Jonathan Ullman
NeurIPS 2024 Optimal Hypothesis Selection in (Almost) Linear Time Maryam Aliakbarpour, Mark Bun, Adam Smith
ICML 2024 Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation Gavin R Brown, Krishnamurthy Dj Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Guha Thakurta
NeurIPS 2023 Counting Distinct Elements in the Turnstile Model with Differential Privacy Under Continual Observation Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith
COLT 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions Gavin Brown, Samuel Hopkins, Adam Smith
NeurIPS 2023 Hypothesis Selection with Memory Constraints Maryam Aliakbarpour, Mark Bun, Adam Smith
ICML 2023 The Price of Differential Privacy Under Continual Observation Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith
NeurIPS 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams Sergey Denisov, H. Brendan McMahan, John Rush, Adam Smith, Abhradeep Guha Thakurta
COLT 2022 Strong Memory Lower Bounds for Learning Natural Models Gavin Brown, Mark Bun, Adam Smith
NeurIPS 2021 Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown, Marco Gaboardi, Adam Smith, Jonathan Ullman, Lydia Zakynthinou
NeurIPS 2021 Differentially Private Model Personalization Prateek Jain, John Rush, Adam Smith, Shuang Song, Abhradeep Guha Thakurta
NeurIPS 2021 Differentially Private Sampling from Distributions Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith, Marika Swanberg
JMLR 2020 Empirical Risk Minimization in the Non-Interactive Local Model of Differential Privacy Di Wang, Marco Gaboardi, Adam Smith, Jinhui Xu
AISTATS 2020 Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis Ryan Rogers, Aaron Roth, Adam Smith, Nathan Srebro, Om Thakkar, Blake Woodworth
NeurIPS 2020 The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space Adam Smith, Shuang Song, Abhradeep Guha Thakurta
ALT 2019 Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations Di Wang, Adam Smith, Jinhui Xu
NeurIPS 2018 Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization Blake E Woodworth, Jialei Wang, Adam Smith, Brendan McMahan, Nati Srebro
NeurIPS 2018 The Limits of Post-Selection Generalization Jonathan Ullman, Adam Smith, Kobbi Nissim, Uri Stemmer, Thomas Steinke
NeurIPS 2015 Private Graphon Estimation for Sparse Graphs Christian Borgs, Jennifer Chayes, Adam Smith
NeurIPS 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-Information and Bandit Settings Abhradeep Guha Thakurta, Adam Smith
COLT 2012 Private Convex Empirical Risk Minimization and High-Dimensional Regression Daniel Kifer, Adam Smith, Abhradeep Thakurta