The Reasoning and Data Analytics for Security (ReDAS) laboratory is working on deceptive attacks (e.g., fake news, job scams, business email compromise, phishing, etc.), automatic software vulnerability detection and metalearning for security challenges. The focus in the case of deceptive attacks is better detectors based on Adversarial ML and generalization. In the case of metalearning, we are interested in adaptive architectures.

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