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. 2303.06425
  4. Cited By
Improving the Robustness of Deep Convolutional Neural Networks Through
  Feature Learning

Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning

11 March 2023
Jin Ding
Jie-Chao Zhao
Yongyang Sun
Ping Tan
Ji-en Ma
You-tong Fang
    AAML
ArXivPDFHTML

Papers citing "Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning"

4 / 4 papers shown
Title
A2: Efficient Automated Attacker for Boosting Adversarial Training
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu
Guanghui Zhu
Changhua Meng
Shiwen Cui
ZhenZhe Ying
Weiqiang Wang
GU Ming
Yihua Huang
AAML
34
13
0
07 Oct 2022
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David A. Wagner
41
11
0
15 Sep 2022
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
73
473
0
02 Feb 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1