Abstract
In this work, we take the first stride in studying adversarial transferability in wearable sensor systems from four viewpoints: (1) transferability between machine learning models; (2) transferability across subjects of the embedded system; (3) transferability across sensor body locations; and (4) transferability across datasets used for model training.
Publication
ACM Transactions on Embedded Computing Systems (TECS)
![Ramesh Kumar Sah](/authors/ramesh-sah/avatar_hu9a3e28a84a284510e109dc8e324db071_279305_270x270_fill_q75_box_center.jpg)
Research Assistant
I am a Computer Science PhD student in the Embedded Machine Intelligence Laboratory (EMIL) at Washington State University, Pullman.
![Hassan Ghasemzadeh](/authors/hassan-ghasemzadeh/avatar_hu7b978ab76ad90ca51f18f381de7a3965_6873_270x270_fill_q75_box_center.jpg)
Director
Hassan Ghasemzadeh is an Associate Professor of Biomedical Informatics at Arizona State University (ASU) and a Computer Science Adjunct Faculty at Washington State University (WSU).