Review of adversarial attacks and defenses on edge machine learning

This project aims to analyse the various Adversarial Threats to Machine Learning on the Edge and how they can be mitigated by Trusted Execution Environment (TEE). This report will analyse the effectiveness of the TEE in mitigating these threats and where it can be supplemented by other Adversarial D...

Full description

Bibliographic Details
Main Author: Chua, Jim Sean
Other Authors: Anupam Chattopadhyay
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175152
_version_ 1826119136269303808
author Chua, Jim Sean
author2 Anupam Chattopadhyay
author_facet Anupam Chattopadhyay
Chua, Jim Sean
author_sort Chua, Jim Sean
collection NTU
description This project aims to analyse the various Adversarial Threats to Machine Learning on the Edge and how they can be mitigated by Trusted Execution Environment (TEE). This report will analyse the effectiveness of the TEE in mitigating these threats and where it can be supplemented by other Adversarial Defenses in the Edge setting.
first_indexed 2024-10-01T04:55:10Z
format Final Year Project (FYP)
id ntu-10356/175152
institution Nanyang Technological University
language English
last_indexed 2024-10-01T04:55:10Z
publishDate 2024
publisher Nanyang Technological University
record_format dspace
spelling ntu-10356/1751522024-04-26T15:41:06Z Review of adversarial attacks and defenses on edge machine learning Chua, Jim Sean Anupam Chattopadhyay School of Computer Science and Engineering anupam@ntu.edu.sg Computer and Information Science This project aims to analyse the various Adversarial Threats to Machine Learning on the Edge and how they can be mitigated by Trusted Execution Environment (TEE). This report will analyse the effectiveness of the TEE in mitigating these threats and where it can be supplemented by other Adversarial Defenses in the Edge setting. Bachelor's degree 2024-04-22T07:05:07Z 2024-04-22T07:05:07Z 2024 Final Year Project (FYP) Chua, J. S. (2024). Review of adversarial attacks and defenses on edge machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175152 https://hdl.handle.net/10356/175152 en application/pdf Nanyang Technological University
spellingShingle Computer and Information Science
Chua, Jim Sean
Review of adversarial attacks and defenses on edge machine learning
title Review of adversarial attacks and defenses on edge machine learning
title_full Review of adversarial attacks and defenses on edge machine learning
title_fullStr Review of adversarial attacks and defenses on edge machine learning
title_full_unstemmed Review of adversarial attacks and defenses on edge machine learning
title_short Review of adversarial attacks and defenses on edge machine learning
title_sort review of adversarial attacks and defenses on edge machine learning
topic Computer and Information Science
url https://hdl.handle.net/10356/175152
work_keys_str_mv AT chuajimsean reviewofadversarialattacksanddefensesonedgemachinelearning