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Adriel Cheng
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2020 – today
- 2024
- [i3]Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew:
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models. CoRR abs/2402.18863 (2024) - [i2]Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew:
Algebraic Adversarial Attacks on Integrated Gradients. CoRR abs/2407.16233 (2024) - 2023
- [j4]Yi Huang
, Ying Li, Guillaume Jourjon, Suranga Seneviratne
Calibrated reconstruction based adversarial autoencoder model for novelty detection. Pattern Recognit. Lett. 169: 50-57 (2023) - [c15]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: 201-208 - [i1]Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim:
A Testbed for Automating and Analysing Mobile Devices and their Applications. CoRR abs/2309.08158 (2023) - 2022
- [j3]Ying Li
From traffic classes to content: A hierarchical approach for encrypted traffic classification. Comput. Networks 212: 109017 (2022) - [j2]Yi Huang
Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. Pattern Recognit. Lett. 159: 132-139 (2022) - 2021
- [c14]Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Clustering Network-Connected Devices Using Affiliation Graphs. ICMLC 2021: 1-7 - [c13]Kyle Millar, Lachlan Simpson, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Detecting Botnet Victims Through Graph-Based Machine Learning. ICMLC 2021: 1-6 - 2020
- [c12]Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Operating System Classification: A Minimalist Approach. ICMLC 2020: 143-150 - [c11]Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Characterising Network-Connected Devices Using Affiliation Graphs. NOMS 2020: 1-6
2010 – 2019
- 2018
- [c10]Ying Li, Yi Huang
Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. NCA 2018: 1-8 - [c9]Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
Deep Learning for Classifying Malicious Network Traffic. PAKDD (Workshops) 2018: 156-161 - 2016
- [c8]Latchman Singh, Adriel Cheng:
Distilling command and control network intrusions from network flow metadata using temporal PageRank. ITNAC 2016: 107-114 - 2014
- [c7]Adriel Cheng, Peter Dickinson:
Exploiting graph compression techniques for coding and monitoring of networks. ICC 2014: 1173-1178 - 2013
- [c6]Adriel Cheng, Peter Dickinson:
Using Scan-Statistical Correlations for Network Change Analysis. PAKDD Workshops 2013: 1-13 - 2011
- [j1]Adriel Cheng, Cheng-Chew Lim
Markov modelling and parameterisation of genetic evolutionary test generations. J. Glob. Optim. 51(4): 743-751 (2011)
2000 – 2009
- 2008
- [c5]Adriel Cheng, Cheng-Chew Lim
Using Genetic Evolutionary Software Application Testing to Verify a DSP SoC. DELTA 2008: 20-25 - 2007
- [c4]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: 371-376 - 2006
- [c3]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: 481-487 - 2005
- [c2]Adriel Cheng, Cheng-Chew Lim
A software test program generator for verifying system-on-chips. HLDVT 2005: 79-86 - 2004
- [c1]Adriel Cheng, Atanas N. Parashkevov, Cheng-Chew Lim
Coverage Measurement for Software Application Level Verification using Symbolic Trajectory Evaluation Techniques. DELTA 2004: 237-244
Coauthor Index
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last updated on 2024-11-18 20:45 CET by the dblp team
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