10 citations · 15 across the 3 of their papers we have counts for
3 papers
math.OC2019★ 3 cited
Local Differential Privacy in Decentralized Optimization
Hanshen Xiao, Yu Ye, Srinivas Devadas
Privacy concerns with sensitive data are receiving increasing attention. In this paper, we study local differential privacy (LDP) in interactive decentralized optimization. By cons…
cs.CR2019★ 10 cited
XRD: Scalable Messaging System with Cryptographic Privacy
Albert Kwon, David Lu, Srinivas Devadas
Even as end-to-end encrypted communication becomes more popular, private messaging remains a challenging problem due to metadata leakages, such as who is communicating with whom. M…
cs.CR2018★ 2 cited
Sanctorum: A lightweight security monitor for secure enclaves
Ilia Lebedev, Kyle Hogan, Jules Drean +5
Enclaves have emerged as a particularly compelling primitive to implement trusted execution environments: strongly isolated sensitive user-mode processes in a largely untrusted sof…