Search Results - "Cheng, Adriel"

Frontlines and Crossroads: The Impact of COVID-19 on the Motivations of Medical Students from Selected Philippine Medical Schools in Pursuing Their Medical Studies by Cheng, Adriel Agunod, Andan, Ysabelle Bianca, Go, Kristine, Luces, Yeoj, Peralta, Jeanne, Sumang, Jeremy, Dayrit, Manuel M.

“…BACKGROUND: The onset of the COVID-19 pandemic made changes to the Philippine medical education system to transfer to an online setting, which meant the loss…”
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PAC-GAN: Packet Generation of Network Traffic using Generative Adversarial Networks by Cheng, Adriel

“…Generative adversarial networks (GANs) have proven extremely successful in creating artificial yet highly realistic media data such as images, text, audio and…”
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Calibrated reconstruction based adversarial autoencoder model for novelty detection by Huang, Yi, Li, Ying, Jourjon, Guillaume, Seneviratne, Suranga, Thilakarathna, Kanchana, Cheng, Adriel, Webb, Darren, Xu, Richard Yi Da

“…•Propose a unified model framework for location agnostic outlier detection.•Integrate implicit/explicit confidence calibration into a reconstruction based…”
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From traffic classes to content: A hierarchical approach for encrypted traffic classification by Li, Ying, Huang, Yi, Seneviratne, Suranga, Thilakarathna, Kanchana, Cheng, Adriel, Jourjon, Guillaume, Webb, Darren, Smith, David B., Xu, Richard Yi Da

“…The vast majority of Internet traffic is now end-to-end encrypted, and while encryption provides user privacy and security, it has made network surveillance an…”
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Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout by Huang, Yi, Li, Ying, Heyes, Timothy, Jourjon, Guillaume, Cheng, Adriel, Seneviratne, Suranga, Thilakarathna, Kanchana, Webb, Darren, Xu, Richard Yi Da

“…•Create highly distinguishable similarity scores by a bidirectional dropout method.•Handle task adaptive open-set recognition by a non-parametric Bayesian…”
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Exploiting graph compression techniques for coding and monitoring of networks by Cheng, Adriel, Dickinson, Peter

“…In order to monitor large enterprise networks, network monitoring data is often gathered from a wide range of sensor locations across the network. However,…”
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Characterising Network-Connected Devices Using Affiliation Graphs by Millar, Kyle, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…Device management in large networks is of growing importance to network administrators and security analysts alike. The composition of devices on a network can…”
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Detecting Data Exfiltration Using Seeds Based Graph Clustering by Cheng, Adriel, Millar, Kyle

“…Identifying devices of interest within Internet Protocol (IP) networks is essential for Cyber security and network management. However, the large variety and…”
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Markov modelling and parameterisation of genetic evolutionary test generations by Cheng, Adriel, Lim, Cheng-Chew

“…Genetic evolutionary algorithms are effective and optimal test generation methods. However, the methods to select the algorithm parameters are often ad hoc,…”
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Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic by Li, Ying, Huang, Yi, Xu, Richard, Seneviratne, Suranga, Thilakarathna, Kanchana, Cheng, Adriel, Webb, Darren, Jourjon, Guillaume

“…The proliferation of smart devices has led to an exponential growth in digital media consumption, especially mobile video for content marketing. The vast…”
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Algebraic Adversarial Attacks on Integrated Gradients by Simpson, Lachlan, Costanza, Federico, Millar, Kyle, Cheng, Adriel, Lim, Cheng-Chew, Chew, Hong Gunn

“…Adversarial attacks on explainability models have drastic consequences when explanations are used to understand the reasoning of neural networks in safety…”
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Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models by Simpson, Lachlan, Millar, Kyle, Cheng, Adriel, Lim, Cheng-Chew, Chew, Hong Gunn

“…Explainability models are now prevalent within machine learning to address the black-box nature of neural networks. The question now is which explainability…”
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Distilling command and control network intrusions from network flow metadata using temporal PageRank by Singh, Latchman, Cheng, Adriel

“…Malicious network intrusions which exfiltrate data from computer networks are extremely damaging for organisations and governments worldwide. Combating these…”
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A Testbed for Automating and Analysing Mobile Devices and their Applications by Simpson, Lachlan, Millar, Kyle, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…The need for improved network situational awareness has been highlighted by the growing complexity and severity of cyber-attacks. Mobile phones pose a…”
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Clustering Network-Connected Devices Using Affiliation Graphs by Millar, Kyle, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…Device management in large networks is of growing importance to network administrators and security analysts alike. The com-position of devices on a network…”
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Operating System Classification: A Minimalist Approach by MILLAR, KYLE, CHENG, ADRIEL, CHEW, HONG GUNN, LIM, CHENG-CHEW

“…Operating system (OS) classification is of growing importance to network administrators and cybersecurity analysts alike. The composition of OSs on a network…”
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Coverage measurement for software application level verification using symbolic trajectory evaluation techniques by Adriel Cheng, Parashkevov, A., Cheng-Chew Lim

“…Design verification of a systems-on-a-chip is a bottleneck for hardware design projects. A new solution is a design verification methodology that applies…”
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Detecting Botnet Victims Through Graph-Based Machine Learning by Millar, Kyle, Simpson, Lachlan, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…Botnets are one of the most devastating cybersecurity threats to modern organisations. A botnet is a distributed network of compromised devices that is…”
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A Testbed for Automating and Analysing Mobile Devices and Their Applications by Simpson, Lachlan, Millar, Kyle, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…The need for improved network situational awareness has been highlighted by the growing complexity and severity of cyber-attacks. Mobile phones pose a…”
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A software test program generator for verifying system-on-chips by Cheng, A., Cheng-Chew Lim, Parashkevov, A.

“…Design verification is crucial for successful systems-on-chips (SoCs). However, validating and proving the correctness of SoCs is often a bottleneck in the…”
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