Adversarial machine learning - Open Access .click

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Adversarial Machine Learning in Network Intrusion Detection Systems [PDF]

Expert systems with applications, 2020
Elie Alhajjar, P. Maxwell, Nathaniel D. Bastian +2 more
semanticscholar +1 more source

Adversarial Machine Learning Threats to Spacecraft [PDF]

Rajiv Thummala +3 more
openalex +1 more source

Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis [PDF]

Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone +2 more
openalex +1 more source

Adversarial Robustness on Image Classification With k-Means

IEEE Access
Attacks and defences in adversarial machine learning literature have primarily focused on supervised learning. However, it remains an open question whether existing methods and strategies can be adapted to unsupervised learning approaches.
Rollin Omari, Junae Kim, Paul Montague
doaj +1 more source

Adversarial Robustness Of Multimodal Machine Learning Models [PDF]

Mateusz Kowalczyk +3 more
openalex +1 more source

Machine learning-based urban densification: extending roof ridge lines for sustainable housing extension using generative adversarial networks [PDF]

Yangzhi Li, Jingwei Li, Qiwei Song
openalex +1 more source

On the feasibility of adversarial machine learning in malware and network intrusion detection

, 2021
Andrea Venturi, Claudio Zanasi
openalex +2 more sources

Additional file 3 of Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model

, 2022
Olivér M. Balogh +6 more
openalex +1 more source

Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning [PDF]

, 2020
Zefan Tang +5 more
openalex +1 more source

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