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35 Results
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Poster
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Thu 4:30 |
Improved Communication-Privacy Trade-offs in Mean Estimation under Streaming Differential Privacy Wei-Ning Chen · Berivan Isik · Peter Kairouz · Albert No · Sewoong Oh · Zheng Xu |
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Poster
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Thu 2:30 |
Differentially Private Worst-group Risk Minimization Xinyu Zhou · Raef Bassily |
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Poster
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Wed 2:30 |
Differentially Private Decentralized Learning with Random Walks Edwige Cyffers · Aurélien Bellet · Jalaj Upadhyay |
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Poster
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Wed 2:30 |
Differentially private exact recovery for stochastic block models Dung Nguyen · Anil Vullikanti |
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Poster
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Wed 4:30 |
Mean Estimation in the Add-Remove Model of Differential Privacy Alex Kulesza · Ananda Suresh · Yuyan Wang |
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Poster
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Thu 2:30 |
Shifted Interpolation for Differential Privacy Jinho Bok · Weijie Su · Jason Altschuler |
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Poster
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Thu 2:30 |
Optimal Differentially Private Model Training with Public Data Andrew Lowy · Zeman Li · Tianjian Huang · Meisam Razaviyayn |
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Poster
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Thu 2:30 |
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi · Yaoliang Yu · YANG CAO |
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Workshop
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Privacy Auditing of Large Language Models Ashwinee Panda · Xinyu Tang · Milad Nasr · Christopher A. Choquette Choo · Prateek Mittal |
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Workshop
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Privacy Auditing of Large Language Models Ashwinee Panda · Xinyu Tang · Milad Nasr · Christopher A. Choquette Choo · Prateek Mittal |
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Poster
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Tue 4:30 |
ViP: A Differentially Private Foundation Model for Computer Vision Yaodong Yu · Maziar Sanjabi · Yi Ma · Kamalika Chaudhuri · Chuan Guo |
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Poster
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Thu 4:30 |
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation Ossi Räisä · Joonas Jälkö · Antti Honkela |