TY - GEN
T1 - A New Approach for Machine Learning Security Risk Assessment - Work in Progress
AU - Yajima, Jun
AU - Inui, Maki
AU - Oikawa, Takanori
AU - Kasahara, Fumiyoshi
AU - Morikawa, Ikuya
AU - Yoshioka, Nobukazu
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022
Y1 - 2022
N2 - We propose a new security risk assessment approach for Machine Learning-based AI systems (ML systems). The assessment of security risks of ML systems requires expertise in ML security. So, ML system developers, who may not know much about ML security, cannot assess the security risks of their systems. By using our approach, a ML system developers can easily assess the security risks of the ML system. In performing the assessment, the ML system developer only has to answer the yes/no questions about the specification of the ML system. In our trial, we confirmed that our approach works correctly.
AB - We propose a new security risk assessment approach for Machine Learning-based AI systems (ML systems). The assessment of security risks of ML systems requires expertise in ML security. So, ML system developers, who may not know much about ML security, cannot assess the security risks of their systems. By using our approach, a ML system developers can easily assess the security risks of the ML system. In performing the assessment, the ML system developer only has to answer the yes/no questions about the specification of the ML system. In our trial, we confirmed that our approach works correctly.
KW - ML Security
KW - Machine Learning
KW - Risk Assessment
UR - http://www.scopus.com/inward/record.url?scp=85133414455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133414455&partnerID=8YFLogxK
U2 - 10.1145/3522664.3528613
DO - 10.1145/3522664.3528613
M3 - Conference contribution
AN - SCOPUS:85133414455
T3 - Proceedings - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022
SP - 52
EP - 53
BT - Proceedings - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022
Y2 - 16 May 2022 through 17 May 2022
ER -