3 citations · 3 across the 3 of their papers we have counts for
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cs.CR2024
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
Diksha Goel, Kristen Moore, Mingyu Guo +3
This paper addresses a significant gap in Autonomous Cyber Operations (ACO) literature: the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It sp…
cs.CR2019★ 3 cited
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Derui, Wang, Chaoran Li +3
Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adversarial examples. In the past few years, many efforts have been spent on exploring query-optimisation attacks…
cs.CR2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
Yansong Gao, Chang Xu, Derui Wang +3
A recent trojan attack on deep neural network (DNN) models is one insidious variant of data poisoning attacks. Trojan attacks exploit an effective backdoor created in a DNN model b…