Coverage Measurement for Software Application Level Verification using Symbolic Trajectory Evaluation Techniques. - Adriel Cheng; Atanas N. Parashkevov; Cheng-Chew Lim (DELTA, 2004)

A software test program generator for verifying system-on-chips. - Adriel Cheng; Cheng-Chew Lim; Atanas N. Parashkevov (HLDVT, 2005)

Coverage Measurement for Software Application Testing using Partially Ordered Domains and Symbolic Trajectory Evaluation Techniques. - Adriel Cheng; Atanas N. Parashkevov; Cheng-Chew Lim (DELTA, 2006)

A 2-Dimension Force-Directed Scheduling Algorithm for Register-File-Connectivity Clustered VLIW Architecture. - Zhixiong Zhou; Hu He 001; Yanjun Zhang; Yihe Sun; Adriel Cheng (ASAP, 2007)

Using Genetic Evolutionary Software Application Testing to Verify a DSP SoC. - Adriel Cheng; Cheng-Chew Lim; Yihe Sun; Hu He 001; Zhixiong Zhou; Ting Lei (DELTA, 2008)

Markov modelling and parameterisation of genetic evolutionary test generations. - Adriel Cheng; Cheng-Chew Lim (J. Glob. Optim., 2011)

Using Scan-Statistical Correlations for Network Change Analysis. - Adriel Cheng; Peter Dickinson (PAKDD Workshops, 2013)

Exploiting graph compression techniques for coding and monitoring of networks. - Adriel Cheng; Peter Dickinson (ICC, 2014)

Distilling command and control network intrusions from network flow metadata using temporal PageRank. - Latchman Singh; Adriel Cheng (ITNAC, 2016)

Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. - Ying Li 039; Yi Huang; Richard Yi Da Xu; Suranga Seneviratne; Kanchana Thilakarathna; Adriel Cheng; Darren Webb; Guillaume Jourjon (NCA, 2018)

Deep Learning for Classifying Malicious Network Traffic. - Kyle Millar; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (PAKDD (Workshops), 2018)

Operating System Classification: A Minimalist Approach. - Kyle Millar; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (ICMLC, 2020)

Characterising Network-Connected Devices Using Affiliation Graphs. - Kyle Millar; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (NOMS, 2020)

Clustering Network-Connected Devices Using Affiliation Graphs. - Kyle Millar; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (ICMLC, 2021)

Detecting Botnet Victims Through Graph-Based Machine Learning. - Kyle Millar; Lachlan Simpson; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (ICMLC, 2021)

From traffic classes to content: A hierarchical approach for encrypted traffic classification. - Ying Li 039; Yi Huang; Suranga Seneviratne; Kanchana Thilakarathna; Adriel Cheng; Guillaume Jourjon; Darren Webb; David B. Smith 001; Richard Yi Da Xu (Comput. Networks, 2022)

Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. - Yi Huang; Ying Li 039; Timothy Heyes; Guillaume Jourjon; Adriel Cheng; Suranga Seneviratne; Kanchana Thilakarathna; Darren Webb; Richard Yi Da Xu (Pattern Recognit. Lett., 2022)

A Testbed for Automating and Analysing Mobile Devices and Their Applications. - Lachlan Simpson; Kyle Millar; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (ICMLC, 2023)

Calibrated reconstruction based adversarial autoencoder model for novelty detection. - Yi Huang; Ying Li 039; Guillaume Jourjon; Suranga Seneviratne; Kanchana Thilakarathna; Adriel Cheng; Darren Webb; Richard Yi Da Xu (Pattern Recognit. Lett., 2023)

Tangentially Aligned Integrated Gradients for User-Friendly Explanations. - Lachlan Simpson; Federico Costanza; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (AICS, 2024)

Algebraic Adversarial Attacks on Integrated Gradients. - Lachlan Simpson; Federico Costanza; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (ICMLC, 2024)

Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models. - Lachlan Simpson; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (CoRR, 2024)

Algebraic Adversarial Attacks on Explainability Models. - Lachlan Simpson; Federico Costanza; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (CoRR, 2025)