A bounded-noise mechanism for differential privacy

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A bounded-noise mechanism for differential privacy

7 December 2020

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Papers citing "A bounded-noise mechanism for differential privacy"

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Title
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis Xin Lyu Kunal Talwar 77 0 0 18 Dec 2024
Over-the-Air Federated Adaptive Data Analysis: Preserving Accuracy via Opportunistic Differential Privacy A. H. Hadavi M. M. Mojahedian M. R. Aref 169 1 0 24 Nov 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible? Jiang Zhang Konstantinos Psounis FedML 100 0 0 06 May 2024
Privacy Amplification for the Gaussian Mechanism via Bounded Support Shengyuan Hu Saeed Mahloujifar Virginia Smith Kamalika Chaudhuri Chuan Guo FedML 67 1 0 07 Mar 2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity A. F. Pour Hassan Ashtiani S. Asoodeh 76 1 0 09 Dec 2023
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning Ghada Almashaqbeh Zahra Ghodsi FedML 58 2 0 12 Jun 2023
Adaptive Data Analysis in a Balanced Adversarial Model Kobbi Nissim Uri Stemmer Eliad Tsfadia FedML 59 2 0 24 May 2023
Certified private data release for sparse Lipschitz functions Konstantin Donhauser J. Lokna Amartya Sanyal M. Boedihardjo R. Honig Fanny Yang 75 4 0 19 Feb 2023
Subsampling Suffices for Adaptive Data Analysis Guy Blanc 68 9 0 17 Feb 2023
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 85 1 0 23 Nov 2022
Generalized Private Selection and Testing with High Confidence E. Cohen Xin Lyu Jelani Nelson Tamas Sarlos Uri Stemmer 49 7 0 22 Nov 2022
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy Jingchen Hu Joerg Drechsler Hang J Kim FedML 54 2 0 17 Mar 2021
A Central Limit Theorem for Differentially Private Query Answering Jinshuo Dong Weijie J. Su Linjun Zhang 83 15 0 15 Mar 2021
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 66 10 0 16 Dec 2020
Local Differential Privacy for Regret Minimization in Reinforcement Learning Evrard Garcelon Vianney Perchet Ciara Pike-Burke Matteo Pirotta 92 37 0 15 Oct 2020