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researcher

B. Schneier

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.CY3

identity via Semantic Scholar / OpenAlex

most citedPrivacy threats in intimate relationships

77 citations · 79 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CY2020★ 2 cited

Legal Risks of Adversarial Machine Learning Research

Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier +1

Adversarial Machine Learning is booming with ML researchers increasingly targeting commercial ML systems such as those used in Facebook, Tesla, Microsoft, IBM, Google to demonstrat…

cs.CY2020★ 77 cited

Privacy threats in intimate relationships

Karen Levy, Bruce Schneier

This article provides an overview of intimate threats: a class of privacy threats that can arise within our families, romantic partnerships, close friendships, and caregiving relat…

cs.CY2020

Politics of Adversarial Machine Learning

Kendra Albert, Jonathon Penney, Bruce Schneier +1

In addition to their security properties, adversarial machine-learning attacks and defenses have political dimensions. They enable or foreclose certain options for both the subject…

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