activity
20172021
most citedDecentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps

32 citations · 46 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR20212 cited

The Design of the User Interfaces for Privacy Enhancements for Android

Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson +22

We present the design and design rationale for the user interfaces for Privacy Enhancements for Android (PE for Android). These UIs are built around two core ideas, namely that dev…

cs.HC202032 cited

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps

Tianshi Li, Jackie, Yang +5

Contact-tracing apps have potential benefits in helping health authorities to act swiftly to halt the spread of COVID-19. However, their effectiveness is heavily dependent on their…

cs.AR2019

Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study

Saugata Ghose, Tianshi Li, Nastaran Hajinazar +2

It has become increasingly difficult to understand the complex interaction between modern applications and main memory, composed of DRAM chips. Manufacturers are now selling and pr…

cs.AR2018

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips

Kevin K. Chang, Abhijith Kashyap, Hasan Hassan +7

This article summarizes key results of our work on experimental characterization and analysis of latency variation and latency-reliability trade-offs in modern DRAM chips, which wa…

cs.AR201712 cited

Using ECC DRAM to Adaptively Increase Memory Capacity

Yixin Luo, Saugata Ghose, Tianshi Li +5

Modern DRAM modules are often equipped with hardware error correction capabilities, especially for DRAM deployed in large-scale data centers, as process technology scaling has incr…