RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response

25 July 2014

Papers citing "RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response"

22 / 22 papers shown

Title
Private Statistical Estimation via Truncation Manolis Zampetakis Felix Zhou 54 0 0 18 May 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 67 0 0 03 Feb 2025
Differentially Private Set Representations Sarvar Patel G. Persiano Joon Young Seo Kevin Yeo 115 0 0 28 Jan 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 95 0 0 28 Jan 2025
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks Xiaoguang Li Zitao Li Ninghui Li Wenhai Sun AAML 102 4 0 28 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 146 1 0 03 Jan 2025
Segmented Private Data Aggregation in the Multi-message Shuffle Model Shaowei Wang Hongqiao Chen Sufen Zeng Ruilin Yang Hui Jiang ... Kaiqi Yu Rundong Mei Shaozheng Huang Wei Yang Bangzhou Xin FedML 78 0 0 31 Dec 2024
Differentially Private Block-wise Gradient Shuffle for Deep Learning Zilong Zhang FedML 59 0 0 31 Jul 2024
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing Theshani Nuradha Mark M. Wilde 49 7 0 26 Jun 2024
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling Shaowei Wang Changyu Dong Xiangfu Song Jin Li Zhili Zhou Di Wang Han Wu 69 0 0 26 Jun 2024
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy Yingtai Xiao Jian Du Shikun Zhang Qiang Yan Qiang Yan Danfeng Zhang Daniel Kifer 69 2 0 04 Jun 2024
Locally Private Estimation with Public Features Yuheng Ma Ke Jia Hanfang Yang 62 3 0 22 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 70 1 0 19 Apr 2024
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm Xintao Xia Linjun Zhang Zhanrui Cai 47 0 0 16 Jan 2024
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 35 47 0 12 Jun 2020
Practical Privacy Preserving POI Recommendation Chaochao Chen Jun Zhou Bingzhe Wu W. Fang Li Wang Yuan Qi Xiaolin Zheng 40 68 0 05 Mar 2020
Adaptive Statistical Learning with Bayesian Differential Privacy Jun Zhao 31 1 0 02 Nov 2019
PrivMin: Differentially Private MinHash for Jaccard Similarity Computation Ziqi Yan Jiqiang Liu Gang Li Zhen Han Shuo Qiu 22 11 0 20 May 2017
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 52 1,012 0 18 Oct 2016
Convex Optimization for Linear Query Processing under Approximate Differential Privacy Ganzhao Yuan Yifan Yang Zhenjie Zhang Zhifeng Hao 42 22 0 13 Feb 2016
Distributed Private Heavy Hitters Justin Hsu S. Khanna Aaron Roth FedML 42 112 0 22 Feb 2012
Interactive Privacy via the Median Mechanism Aaron Roth Tim Roughgarden 78 283 0 10 Nov 2009