Location Leakage in Federated Signal Maps

Location Leakage in Federated Signal Maps

7 December 2021

Evita Bakopoulou

Konstantinos Psounis

Papers citing "Location Leakage in Federated Signal Maps"

16 / 16 papers shown

Title
Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation Jiang Zhang Lillian Clark Matthew A. Clark Konstantinos Psounis Peter Kairouz 52 6 0 13 Jan 2022
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation Eugene Bagdasaryan Peter Kairouz S. Mellem Adria Gascon Kallista A. Bonawitz D. Estrin Marco Gruteser 52 30 0 03 Nov 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 97 176 0 29 Sep 2021
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 98 82 0 15 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 65 55 0 12 Jun 2020
LDP-Fed: Federated Learning with Local Differential Privacy Stacey Truex Ling Liu Ka-Ho Chow Mehmet Emre Gursoy Wenqi Wei FedML 56 394 0 05 Jun 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 100 1,223 0 31 Mar 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 155 301 0 17 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 240 6,252 0 10 Dec 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 118 1,612 0 01 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 74 271 0 31 Oct 2019
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 142 1,474 0 10 May 2018
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 115 1,401 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 203 6,121 0 01 Jul 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 222 2,327 0 21 Mar 2016
Geo-Indistinguishability: Differential Privacy for Location-Based Systems M. Andrés N. E. Bordenabe K. Chatzikokolakis C. Palamidessi 88 1,187 0 10 Dec 2012