Collected research

DRAWN APART: A Device Identification Technique based on Remote GPU Fingerprinting

DRAWN APART : A Device Identification Technique based on Remote GPU Fingerprinting

Tomer Laor, Naif Mehanna, Vitaly Dyadyuk, Antonin Durey, Pierre Laperdrix, Clémentine Maurice, Yossi Oren, Romain Rouvoy, Walter Rudametkin and Yuval Yarom · Oren Lab - Implementation Security and Side-Channel Attacks · 31 December 2021

DrawnApart fingerprints a device by timing the individual execution units inside its GPU from unprivileged JavaScript; manufacturing variation makes some units consistently faster, producing a signature stable enough to separate machines with identical hardware and software. Added to a state-of-the-art tracker it extended median tracking duration by up to 67 percent.

Record

Document

DRAWN APART : A Device Identification Technique based on Remote GPU Fingerprinting

Researcher

Tomer Laor, Naif Mehanna, Vitaly Dyadyuk, Antonin Durey, Pierre Laperdrix, Clémentine Maurice, Yossi Oren, Romain Rouvoy, Walter Rudametkin and Yuval Yarom

Published by

Oren Lab - Implementation Security and Side-Channel Attacks

Date

31 December 2021

Topic

Other

In the archive

• Collected in the 2022 research round

Related sources

• Paper explanation
• Research artifacts
• NDSS 2022 DRAWN APART: A Device Identification Technique based on Remote GPU Fingerprinting

Tags

• side-channel
• timing-attack
• javascript
• info-leak
• measurement-study
• large-scale-scan

This page is the archive's own catalogue record. The research is the work of Tomer Laor, Naif Mehanna, Vitaly Dyadyuk, Antonin Durey, Pierre Laperdrix, Clémentine Maurice, Yossi Oren, Romain Rouvoy, Walter Rudametkin and Yuval Yarom, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on 11 August 2026.