Collecting Telemetry Data Privately

5 December 2017

Papers citing "Collecting Telemetry Data Privately"

50 / 346 papers shown

Title
Continual Mean Estimation Under User-Level Privacy Anand George Lekshmi Ramesh A. V. Singh Himanshu Tyagi FedML 65 9 0 20 Dec 2022
Stateful Switch: Optimized Time Series Release with Local Differential Privacy Qingqing Ye Haibo Hu Kai Huang M. Au Qiao Xue 70 11 0 17 Dec 2022
Differentially Private Tree-Based Redescription Mining M. Mihelčić Pauli Miettinen 13 1 0 13 Dec 2022
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting T. Kutta Önder Askin Martin Dunsche 63 4 0 09 Dec 2022
Answering Private Linear Queries Adaptively using the Common Mechanism Yingtai Xiao Guanhong Wang Qiang Yan Daniel Kifer 98 7 0 30 Nov 2022
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration Miti Mazmudar Thomas Humphries Jiaxiang Liu Matthew Rafuse Xi He 43 10 0 28 Nov 2022
Differentially Private Fair Division Pasin Manurangsi Warut Suksompong 24 2 0 23 Nov 2022
Learning to Generate Image Embeddings with User-level Differential Privacy Zheng Xu Maxwell D. Collins Yuxiao Wang Liviu Panait Sewoong Oh S. Augenstein Ting Liu Florian Schroff H. B. McMahan FedML 89 30 0 20 Nov 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes Basel Alomair 66 25 0 07 Nov 2022
Local Differentially Private Frequency Estimation based on Learned Sketches Meifan Zhang Sixin Lin Lihua Yin 47 2 0 31 Oct 2022
Anonymized Histograms in Intermediate Privacy Models Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi PICV 149 1 0 27 Oct 2022
Learning versus Refutation in Noninteractive Local Differential Privacy Alex Edmonds Aleksandar Nikolov T. Pitassi 25 0 0 26 Oct 2022
Robustness of Locally Differentially Private Graph Analysis Against Poisoning Jacob Imola A. Chowdhury Kamalika Chaudhuri AAML 60 6 0 25 Oct 2022
Rieoptax: Riemannian Optimization in JAX Saiteja Utpala Andi Han Pratik Jawanpuria Bamdev Mishra 86 3 0 10 Oct 2022
DiPPS: Differentially Private Propensity Scores for Bias Correction Liang Chen Valentin Hartmann Robert West 26 1 0 05 Oct 2022
On the Statistical Complexity of Estimation and Testing under Privacy Constraints Clément Lalanne Aurélien Garivier Rémi Gribonval 73 7 0 05 Oct 2022
Frequency Estimation of Evolving Data Under Local Differential Privacy Héber H. Arcolezi Carlos Pinzón C. Palamidessi Sébastien Gambs 58 12 0 01 Oct 2022
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response Han Wang Hanbin Hong Li Xiong Zhan Qin Yuan Hong 15 38 0 29 Sep 2022
On the Choice of Databases in Differential Privacy Composition Valentin Hartmann Vincent Bindschaedler Robert West 51 0 0 27 Sep 2022
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data Stefano Favaro Matteo Sesia 22 0 0 05 Sep 2022
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy Héber H. Arcolezi Sébastien Gambs Jean-François Couchot C. Palamidessi 69 12 0 04 Sep 2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees Jiaqian Ren Lei Jiang Hao Peng Lingjuan Lyu Zhiwei Liu Chaochao Chen Hongzhi Zhang Xu Bai Philip S. Yu 59 13 0 04 Sep 2022
Age-Dependent Differential Privacy Meng Zhang Ermin Wei R. Berry Jianwei Huang 34 41 0 03 Sep 2022
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy Zhili Chen Jiali Wang 28 2 0 03 Sep 2022
On the (Im)Possibility of Estimating Various Notions of Differential Privacy D. Gorla Louis Jalouzot Federica Granese C. Palamidessi Pablo Piantanida 56 5 0 30 Aug 2022
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats Daniel Franzen Saskia Nuñez von Voigt Peter Sorries Florian Tschorsch Claudia Muller-Birn 72 21 0 23 Aug 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks Mengyuan Lee Guanding Yu H. Dai 63 11 0 15 Aug 2022
Differentially Private Kolmogorov-Smirnov-Type Tests Jordan Awan Yue Wang 67 5 0 12 Aug 2022
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy Vitaly Feldman Audra McMillan Kunal Talwar FedML 79 49 0 09 Aug 2022
Differentially Private Learning of Hawkes Processes Mohsen Ghassemi Eleonora Kreavcić Niccolò Dalmasso Vamsi K. Potluru T. Balch Manuela Veloso 111 1 0 27 Jul 2022
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It Sílvia Casacuberta Michael Shoemate Salil P. Vadhan Connor Wagaman 72 25 0 21 Jul 2022
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms Michelle Chen O. Ohrimenko FedML 64 12 0 18 Jul 2022
Private Convex Optimization in General Norms Sivakanth Gopi Y. Lee Daogao Liu Ruoqi Shen Kevin Tian 53 15 0 18 Jul 2022
Faster Privacy Accounting via Evolving Discretization Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi 104 14 0 10 Jul 2022
Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions Vadym Doroshenko Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi 79 43 0 10 Jul 2022
Efficient Private SCO for Heavy-Tailed Data via Clipping Chenhan Jin Kaiwen Zhou Bo Han Ming Yang James Cheng 35 1 0 27 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 74 63 0 09 Jun 2022
Confidentiality Protection in the 2020 US Census of Population and Housing John M. Abowd Michael B. Hawes 62 28 0 07 Jun 2022
Privacy Amplification via Shuffled Check-Ins Seng Pei Liew Satoshi Hasegawa Tsubasa Takahashi FedML 103 0 0 07 Jun 2022
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss Jason M. Altschuler Kunal Talwar FedML 139 61 0 27 May 2022
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation Xiaoguang Li Ninghui Li Wenhai Sun Neil Zhenqiang Gong Hui Li AAML 103 19 0 24 May 2022
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference Woojin Choi Brandon Reagen Gu-Yeon Wei David Brooks FedML 85 7 0 13 May 2022
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 57 15 0 12 May 2022
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python Héber H. Arcolezi Jean-François Couchot Sébastien Gambs C. Palamidessi Majid Zolfaghari 52 11 0 05 May 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 83 3 0 22 Apr 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size Wanrong Zhang Y. Mei Rachel Cummings 79 0 0 10 Apr 2022
"Am I Private and If So, how Many?" -- Using Risk Communication Formats for Making Differential Privacy Understandable Daniel Franzen Saskia Nuñez von Voigt Peter Sorries Florian Tschorsch Claudia Muller-Birn Freie Universitat Berlin 97 9 0 08 Apr 2022
All-Pairs Shortest Path Distances with Differential Privacy: Improved Algorithms for Bounded and Unbounded Weights Justin Y. Chen Shyam Narayanan Yinzhan Xu 20 6 0 05 Apr 2022
FLDP: Flexible strategy for local differential privacy Danting Zhao Suyun Zhao Ruixuan Liu Cuiping Li Wenjuan Liang Hong Chen 53 3 0 28 Mar 2022
Differential Private Discrete Noise Adding Mechanism: Conditions, Properties and Optimization Shuying Qin Jianping He Chongrong Fang J. Lam 33 6 0 19 Mar 2022