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Preventing Machine Learning Poisoning Attacks Using Authentication and
  Provenance

Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance

IEEE Military Communications Conference (MILCOM), 2021
20 May 2021
Jack W. Stokes
P. England
K. Kane
    AAML
ArXiv (abs)PDFHTML

Papers citing "Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance"

2 / 2 papers shown
Title
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey
  of Vulnerabilities, Datasets, and Defenses
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and DefensesIEEE Communications Surveys and Tutorials (COMST), 2023
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
321
87
0
17 Jun 2023
Accumulative Poisoning Attacks on Real-time Data
Accumulative Poisoning Attacks on Real-time DataNeural Information Processing Systems (NeurIPS), 2021
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
188
22
0
18 Jun 2021
1