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59 Results
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Poster
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Tue 14:00 |
Automatic differentiation of nonsmooth iterative algorithms Jerome Bolte · Edouard Pauwels · Samuel Vaiter |
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Workshop
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Differentially Private Gradient Boosting on Linear Learners for Tabular Data Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau |
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Poster
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Tue 9:00 |
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus Howe · Simon Dufort-Labbé · Nitarshan Rajkumar · Pierre-Luc Bacon |
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Poster
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Thu 14:00 |
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms Alireza Fallah · Ali Makhdoumi · azarakhsh malekian · Asuman Ozdaglar |
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Poster
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Wed 14:00 |
Task-level Differentially Private Meta Learning Xinyu Zhou · Raef Bassily |
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Workshop
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Differentially Private Bias-Term only Fine-tuning of Foundation Models Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis |
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Poster
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Thu 9:00 |
Differentially Private Linear Sketches: Efficient Implementations and Applications Fuheng Zhao · Dan Qiao · Rachel Redberg · Divyakant Agrawal · Amr El Abbadi · Yu-Xiang Wang |
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Poster
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Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao |
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Workshop
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Fairness Certificates for Differentially Private Classification Paul Mangold · Michaël Perrot · Marc Tommasi · Aurélien Bellet |
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Poster
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Wed 14:00 |
Differentially Private Covariance Revisited Wei Dong · Yuting Liang · Ke Yi |
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Workshop
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Federated Continual Learning with Differentially Private Data Sharing Giulio Zizzo · Ambrish Rawat · Naoise Holohan · Seshu Tirupathi |
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Poster
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Thu 9:00 |
Near-Optimal Correlation Clustering with Privacy Vincent Cohen-Addad · Chenglin Fan · Silvio Lattanzi · Slobodan Mitrovic · Ashkan Norouzi-Fard · Nikos Parotsidis · Jakub Tarnawski |