Adversarial machine learning and adversarial risk analysis in multi-source command and control

Authors

William N. Caballero, Air Force Institute of Technology
Mark A. Friend, European Office of Aerospace Research and Development
Erik Blasch, Air Force Office of Scientific Research

Document Type

Conference Proceeding

Publication Date

4-12-2021

Comments

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE).

This conference paper is accessible through a SPIE subscription at the DOI link below.

Event: SPIE Defense + Commercial Sensing, 2021. (An online-only conference)

DOI

10.1117/12.2589027

Source Publication

Proceedings of SPIE Volume 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX

Recommended Citation

William N. Caballero, Mark Friend, and Erik Blasch "Adversarial machine learning and adversarial risk analysis in multi-source command and control", Proc. SPIE 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, 117560L (12 April 2021); https://doi.org/10.1117/12.2589027