Manipulation-Proof Oblivious Audits against Deceptive Model Providers

arXiv:2608.04365 · cs.LG, cs.CR, cs.CY · Submitted 2026-08-05 · Read on arXiv

Augustin Godinot, Sofiane Azogagh, Julien Ferry, Sébastien Gambs

cs.LG, cs.CR, cs.CY

Submitted: 2026-08-05

Comments: This work has been accepted for publication at the 2026 AAAI/ACM Conference on AI, Ethics, and Society (AIES)

Code: https://github.com/sofianeazogagh/oblivious

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Private Information Retrieval — 15× in this paper
• Verification — 11× in this paper · explained in 2 episodes
• Accountability — 4× in this paper · explained in 2 episodes
• Theoretical Guarantees — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Verifiability — 3× in this paper · explained in 3 episodes
• Adaptivity — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Cooperation — 2× in this paper · explained in 2 episodes
• Learning With Errors — 2× in this paper
• Communication Complexity — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Machine Learning (ML) — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Quantization — 1× in this paper · explained in 13 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Sources

• Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
• SoK: Machine Learning Governance
• TikTok's Research API: Problems Without Explanations
• PrivFair: a Library for Privacy-Preserving Fairness Auditing

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