Fast Training of Provably Robust Neural Networks by SingleProp
Name
16840-Article Text-20334-1-2-20210518.pdf
Description
Published version
Size
153.7 KB
Format
Adobe PDF
Checksum (MD5)
cbc3eb1af37eb0466e2673c30a973b2a
Author(s)
Boopathy, Akhilan
Weng, Lily
Liu, Sijia
Chen, Pin-Yu
Zhang, Gaoyuan
Daniel, Luca
Intelligence, Assoc Advancement Artificial
Date Issued
2021
Journal
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
Citation
Boopathy, Akhilan, Weng, Lily, Liu, Sijia, Chen, Pin-Yu, Zhang, Gaoyuan et al. 2021. "Fast Training of Provably Robust Neural Networks by SingleProp." THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 35.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
MIT-IBM Watson AI Lab
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://ojs.aaai.org/index.php/AAAI/index
