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Don't Lie to Me: Avoiding Malicious Explanations with STEALTH

  • arXiv (Cornell University)
  • Cornell University
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Abstract

STEALTH is a method for using some AI-generated model, without suffering from malicious attacks (i.e. lying) or associated unfairness issues. After recursively bi-clustering the data, STEALTH system asks the AI model a limited number of queries about class labels. STEALTH asks so few queries (1 per data cluster) that malicious algorithms (a) cannot detect its operation, nor (b) know when to lie.

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Publication details

DOI
10.48550/arxiv.2301.10407
OpenAlex
W4318239127
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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