most citedApplying Private Information Retrieval to Lightweight Bitcoin Clients

21 citations · 46 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2020

An Empirical Study on User Reviews Targeting Mobile Apps' Security & Privacy

Debjyoti Mukherjee, Alireza Ahmadi, Maryam Vahdat Pour +1

Application markets provide a communication channel between app developers and their end-users in form of app reviews, which allow users to provide feedback about the apps. Althoug…

cs.CR202012 cited

Proximity Tracing in an Ecosystem of Surveillance Capitalism

Paul-Olivier Dehaye, Joel Reardon

Proximity tracing apps have been proposed as an aide in dealing with the COVID-19 crisis. Some of those apps leverage attenuation of Bluetooth beacons from mobile devices to build…

cs.CR202021 cited

Applying Private Information Retrieval to Lightweight Bitcoin Clients

Kaihua Qin, Henryk Hadass, Arthur Gervais +1

Lightweight Bitcoin clients execute a Simple Payment Verification (SPV) protocol to verify the validity of transactions related to a particular user. Currently, lightweight clients…

cs.CR20207 cited

SwissCovid: a critical analysis of risk assessment by Swiss authorities

Paul-Olivier Dehaye, Joel Reardon

Ahead of the rollout of the SwissCovid contact tracing app, an official public security test was performed. During this audit, Prof. Serge Vaudenay and Dr. Martin Vuagnoux describe…

cs.CR20176 cited

The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences

Primal Wijesekera, Arjun Baokar, Lynn Tsai +4

Current smartphone operating systems regulate application permissions by prompting users on an ask-on-first-use basis. Prior research has shown that this method is ineffective beca…