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Found 5 papers, 1 papers with code
Under manipulations, are some AI models harder to audit?
Auditors need robust methods to assess the compliance of web platforms with the law.
Fairness Auditing with Multi-Agent Collaboration
Existing work in fairness auditing assumes that each audit is performed independently.
On the relevance of APIs facing fairwashed audits
We then simulate practical scenarios in which the auditor may mostly rely on the API to conveniently conduct the audit task, while maintaining her chances to detect a potential manipulation.
The Bouncer Problem: Challenges to Remote Explainability
The concept of explainability is envisioned to satisfy society's demands for transparency on machine learning decisions.
TamperNN: Efficient Tampering Detection of Deployed Neural Nets
This has a critical impact on the security and reliability of those deployed devices.
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