Abstract
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 describe a prototype system CTI4AI, to overcome the need to methodically identify and share AI/ML specific vulnerabilities and threat intelligence.
Cite
CITATION STYLE
Nguyen, C., Morgan, C., & Mittal, S. (2022). Poster CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models. In Proceedings of the ACM Conference on Computer and Communications Security (pp. 3431–3433). Association for Computing Machinery. https://doi.org/10.1145/3548606.3563525
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