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Evidence record 16643 · automatically gathered

Manipulation-Proof Oblivious Audits against Deceptive Model Providers

arXiv:2608.04365v1 Announce Type: cross Abstract: Audits have emerged as a critical instrument for algorithmic governance, providing a mechanism for external scrutiny and governance of machine learning models. However, ensuring the integrity of such assessments remains a challenging issue. For instance in regulatory contexts, audits are typically declared or easily detected, thus enabling model providers to manipulate the process, whether intentionally or inadvertently. This vulnerability is par

Record details

Published: 6 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Transparency
Retrieved: 6 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Regulation · Shared topic: Transparency

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Shared topic: Regulation · Shared topic: Transparency

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How to cite this record

ethics.ai (6 August 2026), “Manipulation-Proof Oblivious Audits against Deceptive Model Providers,” evidence record 16643, https://ethics.ai/record/16643 (originally published by arXiv cs.CY).

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