BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model

2 May 2017

Aleksandra Korolova

Papers citing "BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model"

19 / 19 papers shown

Title
Private Distribution Learning with Public Data: The View from Sample Compression Shai Ben-David Alex Bie C. Canonne Gautam Kamath Vikrant Singhal 42 11 0 11 Aug 2023
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free Syomantak Chaudhuri T. Courtade 30 4 0 27 Apr 2023
Momentum Gradient Descent Federated Learning with Local Differential Privacy Mengde Han Tianqing Zhu Wanlei Zhou FedML 19 0 0 28 Sep 2022
Private Estimation with Public Data Alex Bie Gautam Kamath Vikrant Singhal 36 28 0 16 Aug 2022
Public Data-Assisted Mirror Descent for Private Model Training Ehsan Amid Arun Ganesh Rajiv Mathews Swaroop Indra Ramaswamy Shuang Song Thomas Steinke Vinith Suriyakumar Om Thakkar Abhradeep Thakurta 21 49 0 01 Dec 2021
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification Yingxue Zhou Zhiwei Steven Wu A. Banerjee 24 106 0 07 Jul 2020
Connecting Robust Shuffle Privacy and Pan-Privacy Victor Balcer Albert Cheu Matthew Joseph Jieming Mao FedML 20 41 0 20 Apr 2020
Differentially Private Set Union Sivakanth Gopi P. Gulhane Janardhan Kulkarni J. Shen Milad Shokouhi Sergey Yekhanin FedML 27 32 0 22 Feb 2020
The power of synergy in differential privacy: Combining a small curator with local randomizers A. Beimel Aleksandra Korolova Kobbi Nissim Or Sheffet Uri Stemmer 34 14 0 18 Dec 2019
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 33 76 0 05 Nov 2019
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy Mehmet Emre Gursoy Acar Tamersoy Stacey Truex Wenqi Wei Ling Liu 19 75 0 15 May 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 18 106 0 22 Feb 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge Jinyuan Jia Neil Zhenqiang Gong 13 40 0 05 Dec 2018
Locally Private Gaussian Estimation Matthew Joseph Janardhan Kulkarni Jieming Mao Zhiwei Steven Wu FedML 39 38 0 20 Nov 2018
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 20 170 0 20 Aug 2018
Differentially-Private "Draw and Discard" Machine Learning Vasyl Pihur Aleksandra Korolova Frederick Liu Subhash Sankuratripati M. Yung Dachuan Huang Ruogu Zeng FedML 33 39 0 11 Jul 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia Neil Zhenqiang Gong AAML 13 161 0 13 May 2018
Comparing Population Means under Local Differential Privacy: with Significance and Power Bolin Ding Harsha Nori P. Li Joshua Allen 19 32 0 24 Mar 2018
AntShield: On-Device Detection of Personal Information Exposure A. Shuba Evita Bakopoulou Milad Asgari Mehrabadi Hieu Le David Choffnes A. Markopoulou 14 15 0 03 Mar 2018