Aug. 17, 2022, 1:20 a.m. | Chuyen Nguyen, Caleb Morgan, Sudip Mittal

cs.CR updates on arXiv.org arxiv.org

As the practicality of Artificial Intelligence (AI) and Machine Learning (ML)
based techniques grow, there is an ever increasing threat of adversarial
attacks. There is a need to red team this ecosystem to identify system
vulnerabilities, potential threats, characterize properties that will enhance
system robustness, and encourage the creation of effective defenses. A
secondary need is to share this AI security threat intelligence between
different stakeholders like, model developers, users, and AI/ML security
professionals. In this paper, we create and …

ai ai models intelligence red teaming sharing threat threat intelligence

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