Publications by authors named "Penny Chong"
Toward Scalable and Unified Example-Based Explanation and Outlier Detection.
IEEE Trans Image Process
December 2021
Article Synopsis
- Neural networks used in important decision-making need to explain their predictions clearly and identify any unusual cases that require expert review.
- The proposed method combines explanation generation and outlier detection through prototype-based student networks, which offer example-based insights using key training set cases.
- The study demonstrates that these networks not only enhance explanation quality and find outliers effectively but also maintain high classification accuracy compared to traditional methods.
This article presents a dataset for studying the detection of obfuscated malware in volatile computer memory. Several obfuscated reverse remote shells were generated using Metasploit-Framework, Hyperion, and PEScrambler tools. After compromising the host, Memory snapshots of a Windows 10 virtual machine were acquired using the open-source Rekall's WinPmem acquisition tool.
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