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Benjamin I. P. Rubinstein

School of Computing and Information Systems, University of Melbourne

49 papers hereh-index 355k citations134 works total

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

author position
  • first author1
  • middle author27
  • last author20

Across the 48 of 49 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.CR12
  • cs.DB7
  • cs.CL5
  • cs.CV2
  • cs.SE2
affiliations
  • School of Computing and Information Systems, University of Melbourne
Homepage
same name
  • Benjamin I. P. Rubinstein — 6 papers, h 2
  • Benjamin I. P. Rubinstein — 5 papers, h 2
  • Benjamin I. P. Rubinstein — 5 papers, h 1
  • Benjamin I. P. Rubinstein — 4 papers
  • Benjamin I. P. Rubinstein — 4 papers, h 3
  • Benjamin I. P. Rubinstein — 2 papers, h 4

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
20122024
most citedHealth Data in an Open World

33 citations · 105 across the 30 of their papers we have counts for

collaborators
Showing 2017 · cs.CRShow all

3 papers · 2 filters

cs.CR2017★ 8 cited

Vulnerabilities in the use of similarity tables in combination with pseudonymisation to preserve data privacy in the UK Office for National Statistics' Privacy-Preserving Record Linkage

Chris Culnane, Benjamin I. P. Rubinstein, Vanessa Teague

In the course of a survey of privacy-preserving record linkage, we reviewed the approach taken by the UK Office for National Statistics (ONS) as described in their series of report…

cs.CR2017★ 2 cited

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Yi Han, Benjamin I. P. Rubinstein

Despite the wide use of machine learning in adversarial settings including computer security, recent studies have demonstrated vulnerabilities to evasion attacks---carefully crafte…

cs.CR2017

Privacy Assessment of De-identified Opal Data: A report for Transport for NSW

Chris Culnane, Benjamin I. P. Rubinstein, Vanessa Teague

We consider the privacy implications of public release of a de-identified dataset of Opal card transactions. The data was recently published at https://opendata.transport.nsw.gov.a…

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