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. 2007.06196
  4. Cited By
Data from Model: Extracting Data from Non-robust and Robust Models

Data from Model: Extracting Data from Non-robust and Robust Models

13 July 2020
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In-So Kweon
ArXiv (abs)PDFHTML

Papers citing "Data from Model: Extracting Data from Non-robust and Robust Models"

5 / 5 papers shown
Title
Universal Adversarial Training with Class-Wise Perturbations
Universal Adversarial Training with Class-Wise Perturbations
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
58
27
0
07 Apr 2021
Robustness May Be at Odds with Fairness: An Empirical Study on
  Class-wise Accuracy
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
87
59
0
26 Oct 2020
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
Chaoning Zhang
Philipp Benz
Dawit Mureja Argaw
Seokju Lee
Junsik Kim
François Rameau
Jean-Charles Bazin
In So Kweon
84
115
0
23 Oct 2020
Revisiting Batch Normalization for Improving Corruption Robustness
Revisiting Batch Normalization for Improving Corruption Robustness
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
112
83
0
07 Oct 2020
Double Targeted Universal Adversarial Perturbations
Double Targeted Universal Adversarial Perturbations
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In So Kweon
AAML
95
48
0
07 Oct 2020
1