Approximate Manifold Defense Against Multiple Adversarial Perturbations

International Joint Conference on Neural Networks

Saved in:
Bibliographic Details
Main Authors: JAY NANDY, HSU, WYNNE, LEE MONG LI, JANICE
Other Authors: DEPT OF COMPUTER SCIENCE
Format: Conference or Workshop Item
Language:English
Published: IEEE 2020
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/177300
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-177300
record_format dspace
spelling sg-nus-scholar.10635-1773002020-10-09T13:24:18Z Approximate Manifold Defense Against Multiple Adversarial Perturbations JAY NANDY HSU, WYNNE LEE MONG LI, JANICE DEPT OF COMPUTER SCIENCE Robustness Deep Learning Image classification International Joint Conference on Neural Networks 2020-10-08T08:54:19Z 2020-10-08T08:54:19Z 2020-07 Conference Paper JAY NANDY, HSU, WYNNE, LEE MONG LI, JANICE (2020-07). Approximate Manifold Defense Against Multiple Adversarial Perturbations. International Joint Conference on Neural Networks. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/177300 en IEEE
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Robustness
Deep Learning
Image classification
spellingShingle Robustness
Deep Learning
Image classification
JAY NANDY
HSU, WYNNE
LEE MONG LI, JANICE
Approximate Manifold Defense Against Multiple Adversarial Perturbations
description International Joint Conference on Neural Networks
author2 DEPT OF COMPUTER SCIENCE
author_facet DEPT OF COMPUTER SCIENCE
JAY NANDY
HSU, WYNNE
LEE MONG LI, JANICE
format Conference or Workshop Item
author JAY NANDY
HSU, WYNNE
LEE MONG LI, JANICE
author_sort JAY NANDY
title Approximate Manifold Defense Against Multiple Adversarial Perturbations
title_short Approximate Manifold Defense Against Multiple Adversarial Perturbations
title_full Approximate Manifold Defense Against Multiple Adversarial Perturbations
title_fullStr Approximate Manifold Defense Against Multiple Adversarial Perturbations
title_full_unstemmed Approximate Manifold Defense Against Multiple Adversarial Perturbations
title_sort approximate manifold defense against multiple adversarial perturbations
publisher IEEE
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/177300
_version_ 1681102168837324800