New arXiv Research Paper
arXiv ID: 2608.28362
Title: Optimal Adversarial Testing: Extracting Honest Test Results from Dishonest Test Takers
Authors: Owen Cox, April Xu, Weiyu Xu
Published: 2026-08-28T14:13:40Z
URL: https://arxiv.org/abs/2608.28362
Abstract (first 300 chars)
In applications, it is often required to test objects or people to determine their qualities in terms of certain metrics. However, besides being naturally noisy, the test results can be corrupted by adversarial behaviors of objects or people being tested (test takers). For example, dishonest test ta…
Suggested OWASP Mapping
No automatic mapping — manual review recommended
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.
New arXiv Research Paper
arXiv ID: 2608.28362
Title: Optimal Adversarial Testing: Extracting Honest Test Results from Dishonest Test Takers
Authors: Owen Cox, April Xu, Weiyu Xu
Published: 2026-08-28T14:13:40Z
URL: https://arxiv.org/abs/2608.28362
Abstract (first 300 chars)
Suggested OWASP Mapping
No automatic mapping — manual review recommended
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.