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Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders.

, , , и . ICC, стр. 6343-6348. IEEE, (2023)

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Andrew C Brunson

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Paul Cullen

 

Другие публикации лиц с тем же именем

Generative Adversarial Networks for anomaly detection on decentralised data., , , и . Annu. Rev. Control., (2022)Adversarial Decisions on Complex Dynamical Systems using Game Theory., , и . CoRR, (2022)Distributed Generative Adversarial Networks for Anomaly Detection., , , , и . GameSec, том 12513 из Lecture Notes in Computer Science, стр. 3-22. Springer, (2020)Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity., , , , и . NeurIPS, (2022)Exploiting Certified Defences to Attack Randomised Smoothing., , , , и . CoRR, (2023)Privacy-Preserving Collaborative SDR Networks for Anomaly Detection., , , , и . ICC, стр. 1-6. IEEE, (2021)An Adversarial Strategic Game for Machine Learning as a Service using System Features., , , , и . AAMAS, стр. 2508-2510. ACM, (2023)A novel numerical solver for nonlinear boundary value problems, with applications to the forced Gardner equation.. Monash University, Australia, (2019)Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders., , , и . ICC, стр. 6343-6348. IEEE, (2023)A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations., и . J. Comput. Phys., (2019)