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cs.CR2024
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
Sidahmed Benabderrahmane, Ngoc Hoang, Petko Valtchev +2
Advanced Persistent Threats (APTs) are sophisticated, targeted cyberattacks designed to gain unauthorized access to systems and remain undetected for extended periods. To evade det…
cs.CE2024
Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
Minwu Kim, Sidahmed Benabderrahmane, Talal Rahwan
This research presents a predictive model to identify potential targets of activist investment funds--entities that acquire significant corporate stakes to influence strategic and…