activity
20192021
most citedSwivel: Hardening WebAssembly against Spectre

15 citations · 15 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CR202115 cited

Swivel: Hardening WebAssembly against Spectre

Shravan Narayan, Craig Disselkoen, Daniel Moghimi +8

We describe Swivel, a new compiler framework for hardening WebAssembly (Wasm) against Spectre attacks. Outside the browser, Wasm has become a popular lightweight, in-process sandbo…

cs.LG2020

Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy

Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali +3

When receiving machine learning services from the cloud, the provider does not need to receive all features; in fact, only a subset of the features are necessary for the target pre…

cs.CR2019

Constant-Time Foundations for the New Spectre Era

Sunjay Cauligi, Craig Disselkoen, Klaus v. Gleissenthall +4

The constant-time discipline is a software-based countermeasure used for protecting high assurance cryptographic implementations against timing side-channel attacks. Constant-time…

cs.CR2019

Packet Chasing: Spying on Network Packets over a Cache Side-Channel

Mohammadkazem Taram, Ashish Venkat, Dean Tullsen

This paper presents Packet Chasing, an attack on the network that does not require access to the network, and works regardless of the privilege level of the process receiving the p…

cs.CR2019

Shredder: Learning Noise Distributions to Protect Inference Privacy

Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani +2

A wide variety of deep neural applications increasingly rely on the cloud to perform their compute-heavy inference. This common practice requires sending private and privileged dat…