Poster CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models

Poster CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models

연구 분야: Safety

학회: CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

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.