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researcher

J. Andrews

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CY1
  • eess.IV1
same name
  • J. Andrews — 60 papers, h 101
  • J. Andrews — 55 papers, h 0
  • J. Andrews — 44 papers, h 35
  • J. Andrews — 26 papers, h 22
  • J. Andrews — 7 papers, h 18
  • J. Andrews — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedMultiple-Identity Image Attacks Against Face-based Identity Verification

9 citations · 13 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CY2020★ 4 cited

I call BS: Fraud Detection in Crowdfunding Campaigns

Beatrice Perez, Sara R. Machado, Jerone T. A. Andrews +1

Donations to charity-based crowdfunding environments have been on the rise in the last few years. Unsurprisingly, deception and fraud in such platforms have also increased, but hav…

eess.IV2020

Conditional Adversarial Camera Model Anonymization

Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin

The model of camera that was used to capture a particular photographic image (model attribution) is typically inferred from high-frequency model-specific artifacts present within t…

cs.CV2019★ 9 cited

Multiple-Identity Image Attacks Against Face-based Identity Verification

Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin

Facial verification systems are vulnerable to poisoning attacks that make use of multiple-identity images (MIIs)---face images stored in a database that resemble multiple persons,…

cs.CV2018

Built-in Vulnerabilities to Imperceptible Adversarial Perturbations

Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin

Designing models that are robust to small adversarial perturbations of their inputs has proven remarkably difficult. In this work we show that the reverse problem---making models m…

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