Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective

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.

Ramesh Kumar Sah

Research Assistant

I am a Computer Science PhD student in the Embedded Machine Intelligence Laboratory (EMIL) at Washington State University, Pullman.

Hassan Ghasemzadeh

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).