Bayesian optimization-driven adversarial poisoning attacks against distributed learning

Bayesian optimization-driven adversarial poisoning attacks against distributed learning

Metaverse is envisioned to be the next-generation human-centric Internet which can offer an immersive experience for users with a broad application in healthcare, education, entertainment, and industries. These applications require the analysis of massive data that contains private and sensitive inf...

Full description

Saved in:
Bibliographic Details
Main Authors: Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan, Basil AsSadhan
Format: Default Article
Published: 2023
Subjects:
Engineering
Information and computing sciences
adversarial machine learning (AdvML)
federated learning (FL)
metaverse
poisoning attacks
split learning (SL)
Online Access:https://hdl.handle.net/2134/24042498.v1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://hdl.handle.net/2134/24042498.v1

Similar Items