Hong Gunn Chew

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Network Traffic

Neighborhood Graph

Top Venues

PAKDD (Workshops)

Publications

Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
Algebraic Adversarial Attacks on Integrated Gradients. CoRR (2024)
Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models. CoRR (2024)
Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
A Testbed for Automating and Analysing Mobile Devices and their Applications. CoRR (2023)
Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
A Testbed for Automating and Analysing Mobile Devices and Their Applications. ICMLC (2023)
Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Clustering Network-Connected Devices Using Affiliation Graphs. ICMLC (2021)
Kyle Millar, Lachlan Simpson, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Detecting Botnet Victims Through Graph-Based Machine Learning. ICMLC (2021)
Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Operating System Classification: A Minimalist Approach. ICMLC (2020)
Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Characterising Network-Connected Devices Using Affiliation Graphs. NOMS (2020)
Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Deep Learning for Classifying Malicious Network Traffic. PAKDD (Workshops) (2018)