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88 Results
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Competition
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Fri 8:30 |
Florien Tramèr - Privacy side-channels in machine learning systems Florian Tramer |
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Poster
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Wed 8:45 |
Faster approximate subgraph counts with privacy Dung Nguyen · Mahantesh Halappanavar · Venkatesh Srinivasan · Venkatesh Srinivasan · Anil Vullikanti |
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Competition
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Fri 7:20 |
Virginia Smith - On Privacy and Personalization in Federated Learning Virginia Smith |
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Poster
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Tue 15:15 |
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release Abhishek Singh · Praneeth Vepakomma · Vivek Sharma · Ramesh Raskar |
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Poster
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Wed 15:00 |
Have it your way: Individualized Privacy Assignment for DP-SGD Franziska Boenisch · Christopher Mühl · Adam Dziedzic · Roy Rinberg · Nicolas Papernot |
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Poster
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Tue 8:45 |
Gaussian Differential Privacy on Riemannian Manifolds Yangdi Jiang · Xiaotian Chang · Yi Liu · Lei Ding · Linglong Kong · Bei Jiang |
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Poster
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Wed 15:00 |
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy Bonwoo Lee · Jeongyoun Ahn · Cheolwoo Park |
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Poster
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Tue 8:45 |
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning Georgios Kaissis · Alexander Ziller · Stefan Kolek · Anneliese Riess · Daniel Rueckert |
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Poster
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Wed 15:00 |
k-Means Clustering with Distance-Based Privacy Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong |
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Workshop
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Privacy-preserving design of graph neural networks with applications to vertical federated learning Ruofan Wu · Mingyang Zhang · Lingjuan Lyu · Xiaolong Xu · Xiuquan Hao · xinyi fu · Tengfei LIU · Tianyi Zhang · Weiqiang Wang |
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Poster
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Tue 15:15 |
Privacy Auditing with One (1) Training Run Thomas Steinke · Milad Nasr · Matthew Jagielski |
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Poster
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Thu 15:00 |
Counting Distinct Elements Under Person-Level Differential Privacy Thomas Steinke · Alexander Knop |