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. 2007.03724
  4. Cited By
Learning while Respecting Privacy and Robustness to Distributional
  Uncertainties and Adversarial Data

Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data

7 July 2020
A. Sadeghi
Gang Wang
Meng Ma
G. Giannakis
    OOD
    FedML
ArXivPDFHTML

Papers citing "Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data"

2 / 2 papers shown
Title
Robust Distributed Learning Against Both Distributional Shifts and
  Byzantine Attacks
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks
Guanqiang Zhou
Ping Xu
Yue Wang
Zhi Tian
OOD
FedML
39
4
0
29 Oct 2022
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
312
3,115
0
04 Nov 2016
1