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Poster
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Wed 12:45 |
Differentially Private Analysis on Graph Streams Jalaj Upadhyay · Sarvagya Upadhyay · Raman Arora |
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Poster
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Wed 6:00 |
Foundations of Bayesian Learning from Synthetic Data Harrison Wilde · Jack Jewson · Sebastian Vollmer · Chris Holmes |
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Poster
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Wed 12:45 |
Evading the Curse of Dimensionality in Unconstrained Private GLMs Shuang Song · Thomas Steinke · Om Thakkar · Abhradeep Thakurta |
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Poster
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Thu 7:30 |
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT Antti Koskela · Joonas Jälkö · Lukas Prediger · Antti Honkela |
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Poster
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Tue 14:00 |
Differentially Private Weighted Sampling Edith Cohen · Ofir Geri · Tamas Sarlos · Uri Stemmer |
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Poster
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Tue 18:30 |
Optimal query complexity for private sequential learning against eavesdropping Jiaming Xu · Kuang Xu · Dana Yang |
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Poster
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Wed 12:45 |
Location Trace Privacy Under Conditional Priors Casey Meehan · Kamalika Chaudhuri |
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Poster
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Wed 6:00 |
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni · Richard Vidal · Marco Lorenzi |
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Poster
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Wed 12:45 |
Shuffled Model of Differential Privacy in Federated Learning Antonious Girgis · Deepesh Data · Suhas Diggavi · Peter Kairouz · Ananda Theertha Suresh |
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Poster
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Wed 12:45 |
Private optimization without constraint violations andres munoz · Umar Syed · Sergei Vassilvtiskii · Ellen Vitercik |
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Poster
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Tue 18:30 |
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints Omid Sadeghi · Maryam Fazel |
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Poster
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Thu 7:30 |
Federated f-Differential Privacy Qinqing Zheng · Shuxiao Chen · Qi Long · Weijie Su |