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Report

Works title

Adversarial machine learning in 6G radio access networks: threats and defense strategies

Authors

[ 1 ] Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ S ] student

Title variant

PL Adwersywne uczenie maszynowe w radiowych sieciach 6G: zagrożenia i strategie

Work ID

r3282_2022

Keywords
EN
  • Machine learning
  • Adversarial Machine Learning
  • Cybersecurity
Date

21.09.2022

Language

english

Number of pages or volume of work

17

Type of work

research report

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