When Does Generated Benign Data Become Defensible? An assurance-case agenda for AI-enabled IoT threat detection

Authors

• Ali Safari, University of North TexasFollow
• Dan J. Kim, University of North TexasFollow

Comments

TPP-1203

Recommended Citation

Safari, Ali and Kim, Dan J., "When Does Generated Benign Data Become Defensible? An assurance-case agenda for AI-enabled IoT threat detection" (2026). ICIS 2026 TREOS. 72.
https://aisel.aisnet.org/treos_icis2026/72