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BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec
Recently, researchers have shown how malware family classification can be done by first converting malware binaries into grayscale images and then passing them through neural networks for classification.
TypoSwype: An Imaging Approach to Detect Typo-Squatting
Typo-squatting domains are a common cyber-attack technique.
PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks
We also demonstrate a workflow of how PhishGAN together with a Homoglyph Identifier (HI) model can be used to identify the domain the homoglyph was trying to imitate.
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Dynamic portfolio optimization is the process of sequentially allocating wealth to a collection of assets in some consecutive trading periods, based on investors' return-risk profile.
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