ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.14856
  4. Cited By
Orthogonal Deep Models As Defense Against Black-Box Attacks

Orthogonal Deep Models As Defense Against Black-Box Attacks

26 June 2020
M. Jalwana
Naveed Akhtar
Bennamoun
Ajmal Mian
    AAML
ArXivPDFHTML

Papers citing "Orthogonal Deep Models As Defense Against Black-Box Attacks"

5 / 5 papers shown
Title
Group Orthogonalization Regularization For Vision Models Adaptation and
  Robustness
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
Yoav Kurtz
Noga Bar
Raja Giryes
32
0
0
16 Jun 2023
Mitigating Adversarial Attacks by Distributing Different Copies to
  Different Users
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
Jiyi Zhang
Hansheng Fang
W. Tann
Ke Xu
Chengfang Fang
E. Chang
AAML
26
3
0
30 Nov 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly
  Deploying Adversarially-Disjoint Models
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Sahar Abdelnabi
Mario Fritz
AAML
27
7
0
09 Feb 2021
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
69
264
0
30 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
293
5,842
0
08 Jul 2016
1