eprintid: 4468
rev_number: 7
eprint_status: archive
userid: 304
dir: disk0/00/00/44/68
datestamp: 2021-06-18 11:08:27
lastmod: 2021-06-18 11:08:27
status_changed: 2021-06-18 11:08:27
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Duc Anh
creators_name: Do, Minh Kha
creators_name: Pham, Thi To Nga
creators_name: Pham, Ngoc Hung
creators_id: nguyenducanh@vnu.edu.vn
creators_id: 17020827@vnu.edu.vn
creators_id: ngaptt@dainam.edu.vn
creators_id: hungpn@vnu.edu.vn
title: An Autoencoder-based Method for Targeted Attack on Deep Neural Network Models
ispublished: inpress
subjects: IT
divisions: fac_fit
date: 2021
date_type: published
full_text_status: public
pres_type: paper
event_title: 2021 IEEE International Conference on Research, Innovation and Vision for the Future (RIVF 2021)
event_location: Hanoi
event_dates: June 3-5, 2021
event_type: conference
refereed: FALSE
citation:   Nguyen, Duc Anh and Do, Minh Kha and Pham, Thi To Nga and Pham, Ngoc Hung  (2021) An Autoencoder-based Method for Targeted Attack on Deep Neural Network Models.  In: 2021 IEEE International Conference on Research, Innovation and Vision for the Future (RIVF 2021), June 3-5, 2021, Hanoi.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4468/1/RIVF2021%20paper_7.pdf