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Don't Lie to Me: Avoiding Malicious Explanations with STEALTH
January 25, 2023 Β· Declared Dead Β· π IEEE Software
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Lauren Alvarez, Tim Menzies
arXiv ID
2301.10407
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.CR
Citations
5
Venue
IEEE Software
Last Checked
4 months ago
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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