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CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models (2208.07476v1)

Published 16 Aug 2022 in cs.CR, cs.AI, and cs.LG

Abstract: As the practicality of 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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Authors (3)
  1. Chuyen Nguyen (1 paper)
  2. Caleb Morgan (1 paper)
  3. Sudip Mittal (66 papers)
Citations (3)