activity
20202024
most citedFedML: A Research Library and Benchmark for Federated Machine Learning

354 citations · 600 across the 29 of their papers we have counts for

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Showing cs.CRShow all

9 papers · 1 filter

cs.CR2024★ 1 cited

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy

Yichuan Shi, Olivera Kotevska, Viktor Reshniak +2

Federated Learning (FL) has emerged as a leading paradigm for decentralized, privacy preserving machine learning training. However, recent research on gradient inversion attacks (G…

cs.CR2022★ 2 cited

Decouple-and-Sample: Protecting sensitive information in task agnostic data release

Abhishek Singh, Ethan Garza, Ayush Chopra +3

We propose sanitizer, a framework for secure and task-agnostic data release. While releasing datasets continues to make a big impact in various applications of computer vision, its…

cs.CR2021★ 1 cited

Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience

Abhishek Singh, Ramesh Raskar, Anna Lysyanskaya

In this early draft, we present an end-to-end decentralized protocol for the secure and privacy preserving workflow of vaccination, vaccination status verification, and adverse rea…

cs.CR2021

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies

Rohan Iyer, Regina Rex, Kevin P. McPherson +4

There is a growing need for spatial privacy considerations in the many geo-spatial technologies that have been created as solutions for COVID-19-related issues. Although effective…

cs.CR2020★ 2 cited

Verifiable Proof of Health using Public Key Cryptography

Abhishek Singh, Ramesh Raskar

In the current pandemic, testing continues to be the most important tool for monitoring and curbing the disease spread and early identification of the disease to perform health-rel…

cs.CR2020★ 5 cited

Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems

Ananya Gangavarapu, Ellie Daw, Abhishek Singh +4

The adoption of digital contact tracing (DCT) technology during the COVID-19pandemic has shown multiple benefits, including helping to slow the spread of infectious disease and to…

cs.CR2020★ 3 cited

PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic

Priyanka Singh, Abhishek Singh, Gabriel Cojocaru +2

Several contact tracing solutions have been proposed and implemented all around the globe to combat the spread of COVID-19 pandemic. But, most of these solutions endanger the priva…

cs.CR2020★ 9 cited

Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API

Ramesh Raskar, Abhishek Singh, Sam Zimmerman +1

Contact tracing requires a strong understanding of the context of a user, and location with other sensory data could provide a context for any infection encounter. Although Bluetoo…

cs.CR2020★ 73 cited

Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic

Ramesh Raskar, Isabel Schunemann, Rachel Barbar +29

Containment, the key strategy in quickly halting an epidemic, requires rapid identification and quarantine of the infected individuals, determination of whom they have had close co…