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researcher

M. Barrios

4 papers hereh-index 2123 citations5 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CR1
  • cs.LG1
  • cs.SD1
  • eess.AS1
same name
  • M. Barrios — 10 papers, h 1
  • M. Barrios — 9 papers, h 3
  • M. Barrios — 1 paper, h 7
  • M. Barrios — 1 paper
  • M. Barrios — 1 paper, h 1
  • M. Barrios — 1 paper, h 1

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

most citedThe VOiCES from a Distance Challenge 2019 Evaluation Plan

34 citations · 44 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2019★ 9 cited

Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks

Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias +4

Adversarial training was introduced as a way to improve the robustness of deep learning models to adversarial attacks. This training method improves robustness against adversarial…

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