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Poster
Tue 14:00 Differentially Private Online Submodular Maximization
Sebastian Perez-Salazar · Rachel Cummings
Poster
Tue 14:00 Differentially Private Weighted Sampling
Edith Cohen · Ofir Geri · Tamas Sarlos · Uri Stemmer
Poster
Tue 14:00 No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey
Poster
Tue 14:00 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu · Yuqing Zhu · Kamalika Chaudhuri · Yu-Xiang Wang
Poster
Tue 18:30 Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints
Omid Sadeghi · Maryam Fazel
Poster
Tue 18:30 Optimal query complexity for private sequential learning against eavesdropping
Jiaming Xu · Kuang Xu · Dana Yang
Poster
Wed 6:00 Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni · Richard Vidal · Marco Lorenzi
Poster
Wed 6:00 DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
Frederik Harder · Kamil Adamczewski · Mijung Park
Poster
Wed 6:00 Foundations of Bayesian Learning from Synthetic Data
Harrison Wilde · Jack Jewson · Sebastian Vollmer · Chris Holmes
Poster
Wed 6:00 Robust and Private Learning of Halfspaces
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Thao Nguyen
Poster
Wed 12:45 Private optimization without constraint violations
andres munoz · Umar Syed · Sergei Vassilvtiskii · Ellen Vitercik
Poster
Wed 12:45 Differentially Private Analysis on Graph Streams
Jalaj Upadhyay · Sarvagya Upadhyay · Raman Arora