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cs.CR2021
Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning
Doha Al Bared, Mohamed Nassar
Recently published attacks against deep neural networks (DNNs) have stressed the importance of methodologies and tools to assess the security risks of using this technology in crit…
cs.LG2021★ 1 cited
Hack The Box: Fooling Deep Learning Abstraction-Based Monitors
Sara Hajj Ibrahim, Mohamed Nassar
Deep learning is a type of machine learning that adapts a deep hierarchy of concepts. Deep learning classifiers link the most basic version of concepts at the input layer to the mo…