research
∙
09/06/2023
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning
We study the fundamental problem of the construction of optimal randomiz...
share
research
∙
06/26/2023
Citadel: Enclaves with Strong Microarchitectural Isolation and Secure Shared Memory on a Speculative Out-of-Order Processor
We present Citadel, to our knowledge, the first enclave platform with st...
research
∙
10/07/2022
Differentially Private Deep Learning with ModelMix
Training large neural networks with meaningful/usable differential priva...
research
∙
10/07/2022
PAC Security: Automatic Privacy Measurement and Control of Data Processing
We propose and study a new privacy definition, termed Probably Approxima...
research
∙
04/09/2022
ShorTor: Improving Tor Network Latency via Multi-hop Overlay Routing
We present ShorTor, a protocol for reducing latency on the Tor network. ...
research
∙
10/14/2020
Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems (Extended Version)
Existing single-stream logging schemes are unsuitable for in-memory data...
research
∙
01/14/2019
XRD: Scalable Messaging System with Cryptographic Privacy
Even as end-to-end encrypted communication becomes more popular, private...
research
∙
12/27/2018
Sanctorum: A lightweight security monitor for secure enclaves
Enclaves have emerged as a particularly compelling primitive to implemen...
research
∙
12/24/2018
MI6: Secure Enclaves in a Speculative Out-of-Order Processor
Recent attacks have broken process isolation by exploiting microarchitec...
research
∙
02/28/2018
Var-CNN and DynaFlow: Improved Attacks and Defenses for Website Fingerprinting
In recent years, there have been many works that use website fingerprint...
research
∙
04/10/2017