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. 2402.11196
  4. Cited By
Maintaining Adversarial Robustness in Continuous Learning

Maintaining Adversarial Robustness in Continuous Learning

17 February 2024
Xiaolei Ru
Xiaowei Cao
Zijia Liu
Jack Murdoch Moore
Xin-Ya Zhang
Xia Zhu
Wenjia Wei
Gang Yan
    AAML
ArXivPDFHTML

Papers citing "Maintaining Adversarial Robustness in Continuous Learning"

9 / 9 papers shown
Title
Towards Adversarially Robust Continual Learning
Towards Adversarially Robust Continual Learning
Tao Bai
Chen Chen
Lingjuan Lyu
Jun Zhao
Bihan Wen
AAML
46
8
0
31 Mar 2023
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
55
182
0
01 Apr 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
37
135
0
12 Mar 2021
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
43
117
0
22 Oct 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
179
1,821
0
03 Mar 2020
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
151
1,438
0
02 Dec 2018
Continual Learning of Context-dependent Processing in Neural Networks
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
CLL
48
303
0
29 Sep 2018
Parseval Networks: Improving Robustness to Adversarial Examples
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
106
800
0
28 Apr 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
221
7,410
0
02 Dec 2016
1