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A. Redondo

4 papers hereh-index 366 citations11 works total

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
  • stat.ML3
  • cs.CR1
same name
  • A. Redondo — 10 papers, h 14
  • A. Redondo — 2 papers, h 25
  • A. Redondo — 1 paper, h 5
  • A. Redondo — 1 paper, h 1
  • A. Redondo — 1 paper
  • A. Redondo — 1 paper

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 citedAdversarial classification: An adversarial risk analysis approach

38 citations · 48 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2020★ 6 cited

Protecting Classifiers From Attacks

Victor Gallego, Roi Naveiro, Alberto Redondo +2

In multiple domains such as malware detection, automated driving systems, or fraud detection, classification algorithms are susceptible to being attacked by malicious agents willin…

stat.ML2019★ 4 cited

Assessing Supply Chain Cyber Risks

Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua +1

Risk assessment is a major challenge for supply chain managers, as it potentially affects business factors such as service costs, supplier competition and customer expectations. Th…

cs.CR2019

Protecting from Malware Obfuscation Attacks through Adversarial Risk Analysis

Alberto Redondo, David Rios Insua

Malware constitutes a major global risk affecting millions of users each year. Standard algorithms in detection systems perform insufficiently when dealing with malware passed thro…

stat.ML2018★ 38 cited

Adversarial classification: An adversarial risk analysis approach

Roi Naveiro, Alberto Redondo, David Ríos Insua +1

Classification problems in security settings are usually contemplated as confrontations in which one or more adversaries try to fool a classifier to obtain a benefit. Most approach…

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