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20152024
most citedRobust Physical-World Attacks on Deep Learning Models

491 citations · 1k across the 20 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020

FoggySight: A Scheme for Facial Lookup Privacy

Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno

Advances in deep learning algorithms have enabled better-than-human performance on face recognition tasks. In parallel, private companies have been scraping social media and other…

cs.CY2020★ 6 cited

COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion

Lucy Simko, Jack Lucas Chang, Maggie Jiang +3

There is growing use of technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person…

cs.CY2020★ 26 cited

Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things

Kevin Fu, Tadayoshi Kohno, Daniel Lopresti +5

The Internet of Things (IoT) is already transforming industries, cities, and homes. The economic value of this transformation across all industries is estimated to be trillions of…

cs.CR2020★ 8 cited

Security and Machine Learning in the Real World

Ivan Evtimov, Weidong Cui, Ece Kamar +3

Machine learning (ML) models deployed in many safety- and business-critical systems are vulnerable to exploitation through adversarial examples. A large body of academic research h…

cs.CR2020★ 169 cited

PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing

Justin Chan, Dean Foster, Shyam Gollakota +10

The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three fu…

cs.CR2020★ 35 cited

COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences

Lucy Simko, Ryan Calo, Franziska Roesner +1

There is growing interest in technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected p…