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Edlyn V. Levine

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.OH1
  • physics.app-ph1
ORCID 0000-0003-0419-1863

identity via Semantic Scholar / OpenAlex

most citedHardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images

33 citations · 49 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 33 cited

Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images

Maitreyi Ashok, Matthew J. Turner, Ronald L. Walsworth +2

This paper presents a method for hardware trojan detection in integrated circuits. Unsupervised deep learning is used to classify wide field-of-view (4x4 mm2), high spatial reso…

cs.OH2022★ 2 cited

Innovating at Speed and at Scale: A Next Generation Infrastructure for Accelerating Semiconductor Technologies

Richard A. Gottscho, Edlyn V. Levine, Tsu-Jae King Liu +7

Semiconductor innovation drives improvements to technologies that are critical to modern society. The country that successfully accelerates semiconductor innovation is positioned t…

physics.app-ph2022★ 14 cited

Vector Magnetic Current Imaging of an 8 nm Process Node Chip and 3D Current Distributions Using the Quantum Diamond Microscope

Sean M. Oliver, Dmitro J. Martynowych, Matthew J. Turner +3

The adoption of 3D packaging technology necessitates the development of new approaches to failure electronic device analysis. To that end, our team is developing a tool called the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.