Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study

Abstract: 

Today, the security of wearable and mobile-health technologies represents one of the main challenges in the Internet of Things (IoT) era. Adversarial manipulation of sensitive health-related information, e.g., if such information is used for prescribing medicine, may have irreversible consequences involving patients' lives.
In this article, we demonstrate the power of such adversarial attacks based on a real-world epileptic seizure detection problem. We identify the minimum perturbation required by the adversaries to declare a seizure (ictal) sample as non-seizure (inter-ictal) in emergency situations, i.e., minimal adversarial perturbation to fool the classification algorithm.

up
0 users have voted:

Paper Details

Authors:
Submitted On:
14 May 2020 - 3:33pm
Short Link:
Type:
Presentation Slides

Document Files

mhealth_adversarial_perturbations.pdf

(37)

Keywords

Subscribe

[1] , "Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5319. Accessed: Sep. 23, 2020.
@article{5319-20,
url = {http://sigport.org/5319},
author = { },
publisher = {IEEE SigPort},
title = {Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study},
year = {2020} }
TY - EJOUR
T1 - Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5319
ER -
. (2020). Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study. IEEE SigPort. http://sigport.org/5319
, 2020. Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study. Available at: http://sigport.org/5319.
. (2020). "Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study." Web.
1. . Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5319