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

• URL: http://arxiv.org/abs/2208.07476v1
• Date: Tue, 16 Aug 2022 00:16:58 GMT
• Title: CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
• Authors: Chuyen Nguyen and Caleb Morgan and Sudip Mittal
• Abstract summary: A need to identify system vulnerabilities, potential threats, characterize properties that will enhance system robustness. 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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