activity
20152022
most citedA privacy-preserving approach to streaming eye-tracking data

87 citations · 114 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2022

SAUSAGE: Security Analysis of Unix domain Socket Usage in Android

Mounir Elgharabawy, Blas Kojusner, Mohammad Mannan +3

The Android operating system is currently the most popular mobile operating system in the world. Android is based on Linux and therefore inherits its features including its Inter-P…

cs.HC202187 cited

A privacy-preserving approach to streaming eye-tracking data

Brendan David-John, Diane Hosfelt, Kevin Butler +1

Eye-tracking technology is being increasingly integrated into mixed reality devices. Although critical applications are being enabled, there are significant possibilities for viola…

cs.LG2021

Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples

Washington Garcia, Pin-Yu Chen, Somesh Jha +2

Designing deep networks robust to adversarial examples remains an open problem. Likewise, recent zeroth order hard-label attacks on image classification models have shown comparabl…

cs.CR2019

One-Time Programs made Practical

Lianying Zhao, Joseph I. Choi, Didem Demirag +4

A one-time program (OTP) works as follows: Alice provides Bob with the implementation of some function. Bob can have the function evaluated exclusively on a single input of his cho…

cs.CR201916 cited

A Hybrid Approach to Secure Function Evaluation Using SGX

Joseph I. Choi, Dave 'Jing' Tian, Grant Hernandez +5

A protocol for two-party secure function evaluation (2P-SFE) aims to allow the parties to learn the output of function of their private inputs, while leaking nothing more. In a…

cs.CR2019

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

Hadi Abdullah, Washington Garcia, Christian Peeters +3

Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning. However, adversari…