49 citations · 59 across the 3 of their papers we have counts for
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cs.CR2022★ 49 cited
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection
Rahul Kale, Zhi Lu, Kar Wai Fok +1
Cyber intrusion attacks that compromise the users' critical and sensitive data are escalating in volume and intensity, especially with the growing connections between our daily lif…
cs.CR2022★ 4 cited
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection
Zhi Lu, Vrizlynn L. L. Thing
The explanation to an AI model's prediction used to support decision making in cyber security, is of critical importance. It is especially so when the model's incorrect prediction…
cs.CR2021★ 6 cited
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector
Zhi Lu, Vrizlynn L. L. Thing
AI methods have been proven to yield impressive performance on Android malware detection. However, most AI-based methods make predictions of suspicious samples in a black-box manne…