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. 1809.08706
  4. Cited By
Is Ordered Weighted $\ell_1$ Regularized Regression Robust to
  Adversarial Perturbation? A Case Study on OSCAR
v1v2 (latest)

Is Ordered Weighted ℓ1\ell_1ℓ1​ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR

24 September 2018
Pin-Yu Chen
B. Vinzamuri
Sijia Liu
    AAMLOOD
ArXiv (abs)PDFHTML

Papers citing "Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR"

1 / 1 papers shown
Title
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic
  Approach
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng
Pin-Yu Chen
Lam M. Nguyen
M. Squillante
Ivan Oseledets
Luca Daniel
AAML
75
30
0
18 Dec 2018
1