Kyle Millar

According to our database1, Kyle Millar authored at least 10 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Algebraic Adversarial Attacks on Explainability Models.
CoRR, March, 2025

2024
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models.
CoRR, 2024

Algebraic Adversarial Attacks on Integrated Gradients.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

Tangentially Aligned Integrated Gradients for User-Friendly Explanations.
Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 2024

2023
A Testbed for Automating and Analysing Mobile Devices and Their Applications.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2021
Detecting Botnet Victims Through Graph-Based Machine Learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

Clustering Network-Connected Devices Using Affiliation Graphs.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

2020
Characterising Network-Connected Devices Using Affiliation Graphs.
Proceedings of the NOMS 2020, 2020

Operating System Classification: A Minimalist Approach.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

2018
Deep Learning for Classifying Malicious Network Traffic.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018


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