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Workshop
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
Zinan Lin · Sivakanth Gopi · Janardhan Kulkarni · Harsha Nori · Sergey Yekhanin
Poster
Thu 8:45 Faster Differentially Private Convex Optimization via Second-Order Methods
Arun Ganesh · Mahdi Haghifam · Thomas Steinke · Abhradeep Guha Thakurta
Poster
Wed 8:45 On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
Achraf Azize · Marc Jourdan · Aymen Al Marjani · Debabrota Basu
Poster
Thu 8:45 Black-Box Differential Privacy for Interactive ML
Haim Kaplan · Yishay Mansour · Shay Moran · Kobbi Nissim · Uri Stemmer
Poster
Tue 15:15 On Computing Pairwise Statistics with Local Differential Privacy
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Adam Sealfon
Poster
Tue 8:45 Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
Anastasiia Koloskova · Ryan McKenna · Zachary Charles · John Rush · H. Brendan McMahan
Poster
Tue 15:15 k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
Chenglin Fan · Ping Li · Xiaoyun Li
Workshop
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Christopher A. Choquette-Choo · Krishnamurthy Dvijotham · Krishna Pillutla · Arun Ganesh · Thomas Steinke · Abhradeep Guha Thakurta
Poster
Tue 8:45 Differentially Private Approximate Near Neighbor Counting in High Dimensions
Alexandr Andoni · Piotr Indyk · Sepideh Mahabadi · Shyam Narayanan
Poster
Wed 15:00 Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
Bonwoo Lee · Jeongyoun Ahn · Cheolwoo Park
Poster
Tue 8:45 Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Edward Raff · Amol Khanna · Fred Lu
Poster
Thu 15:00 Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
Haonan Duan · Adam Dziedzic · Nicolas Papernot · Franziska Boenisch