Adriel Cheng

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 14

Top Topics

Malicious Traffic

Network Traffic

Novelty Detection

Top Venues

Pattern Recognit. Lett.

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)
Yi Huang, Ying Li, Guillaume Jourjon, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Richard Yi Da Xu
Calibrated reconstruction based adversarial autoencoder model for novelty detection. Pattern Recognit. Lett. 169 (2023)
Ying Li, Yi Huang, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Guillaume Jourjon, Darren Webb, David B. Smith, Richard Yi Da Xu
From traffic classes to content: A hierarchical approach for encrypted traffic classification. Comput. Networks 212 (2022)
Yi Huang, Ying Li, Timothy Heyes, Guillaume Jourjon, Adriel Cheng, Suranga Seneviratne, Kanchana Thilakarathna, Darren Webb, Richard Yi Da Xu
Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. Pattern Recognit. Lett. 159 (2022)
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)
Ying Li, Yi Huang, Richard Yi Da Xu, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Guillaume Jourjon
Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. NCA (2018)
Latchman Singh, Adriel Cheng
Distilling command and control network intrusions from network flow metadata using temporal PageRank. ITNAC (2016)
Adriel Cheng, Peter Dickinson
Exploiting graph compression techniques for coding and monitoring of networks. ICC (2014)
Adriel Cheng, Peter Dickinson
Using Scan-Statistical Correlations for Network Change Analysis. PAKDD Workshops (2013)
Adriel Cheng, Cheng-Chew Lim
Markov modelling and parameterisation of genetic evolutionary test generations. J. Glob. Optim. 51 (4) (2011)
Adriel Cheng, Cheng-Chew Lim, Yihe Sun, Hu He, Zhixiong Zhou, Ting Lei
Using Genetic Evolutionary Software Application Testing to Verify a DSP SoC. DELTA (2008)
Zhixiong Zhou, Hu He, Yanjun Zhang, Yihe Sun, Adriel Cheng
A 2-Dimension Force-Directed Scheduling Algorithm for Register-File-Connectivity Clustered VLIW Architecture. ASAP (2007)
Adriel Cheng, Atanas N. Parashkevov, Cheng-Chew Lim
Coverage Measurement for Software Application Testing using Partially Ordered Domains and Symbolic Trajectory Evaluation Techniques. DELTA (2006)
Adriel Cheng, Cheng-Chew Lim, Atanas N. Parashkevov
A software test program generator for verifying system-on-chips. HLDVT (2005)
Adriel Cheng, Atanas N. Parashkevov, Cheng-Chew Lim
Coverage Measurement for Software Application Level Verification using Symbolic Trajectory Evaluation Techniques. DELTA (2004)