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47 Results
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Poster
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Tue 8:45 |
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations Edward Raff · Amol Khanna · Fred Lu |
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Poster
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Tue 15:15 |
User-Level Differential Privacy With Few Examples Per User Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang |
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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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Thu 15:00 |
Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi · Yangsibo Huang · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Amer Sinha · Chiyuan Zhang |
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Poster
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Wed 15:00 |
Optimal Unbiased Randomizers for Regression with Label Differential Privacy Ashwinkumar Badanidiyuru Varadaraja · Badih Ghazi · Pritish Kamath · Ravi Kumar · Ethan Leeman · Pasin Manurangsi · Avinash V Varadarajan · Chiyuan Zhang |
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Poster
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Thu 8:45 |
Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla · Galen Andrew · Peter Kairouz · H. Brendan McMahan · Alina Oprea · Sewoong Oh |
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Workshop
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DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He |
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Poster
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Tue 15:15 |
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning Wenxuan Bao · Francesco Pittaluga · Vijay Kumar B G · Vincent Bindschaedler |
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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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Workshop
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Sat 9:05 |
One-shot Empirical Privacy Estimation for Federated Learning Galen Andrew · Peter Kairouz · Sewoong Oh · Alina Oprea · H. Brendan McMahan · Vinith Suriyakumar |
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Workshop
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Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure Tamara Mueller · Maulik Chevli · Ameya Daigavane · Daniel Rueckert · Georgios Kaissis |