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. 2004.02183
  4. Cited By
Approximate Manifold Defense Against Multiple Adversarial Perturbations
v1v2 (latest)

Approximate Manifold Defense Against Multiple Adversarial Perturbations

5 April 2020
Jay Nandy
Wynne Hsu
Mong Li Lee
    AAML
ArXiv (abs)PDFHTML

Papers citing "Approximate Manifold Defense Against Multiple Adversarial Perturbations"

5 / 5 papers shown
Title
Towards Universal Certified Robustness with Multi-Norm Training
Towards Universal Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAML
134
1
0
03 Oct 2024
Adaptive Smoothness-weighted Adversarial Training for Multiple
  Perturbations with Its Stability Analysis
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis
Jiancong Xiao
Zeyu Qin
Yanbo Fan
Baoyuan Wu
Jue Wang
Zhimin Luo
AAML
124
7
0
02 Oct 2022
Distributional Shifts in Automated Diabetic Retinopathy Screening
Distributional Shifts in Automated Diabetic Retinopathy Screening
Jay Nandy
Wynne Hsu
Mong Li Lee
OODMedIm
16
5
0
25 Jul 2021
Leveraging cross-platform data to improve automated hate speech
  detection
Leveraging cross-platform data to improve automated hate speech detection
John D. Gallacher
45
4
0
09 Feb 2021
Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
51
12
0
10 Sep 2020
1