2.4k citations · 2.8k across the 25 of their papers we have counts for
5 papers · 1 filter
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
Lun-Pin Yuan, Euijin Choo, Ting Yu +2
Autoencoder-based anomaly detection methods have been used in identifying anomalous users from large-scale enterprise logs with the assumption that adversarial activities do not fo…
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh +4
We model the behavioral biases of human decision-making in securing interdependent systems and show that such behavioral decision-making leads to a suboptimal pattern of resource a…
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
Guanxiong Liu, Issa Khalil, Abdallah Khreishah +5
Machine learning models, especially neural network (NN) classifiers, have acceptable performance and accuracy that leads to their wide adoption in different aspects of our daily li…
BASCPS: How does behavioral decision making impact the security of cyber-physical systems?
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh +4
We study the security of large-scale cyber-physical systems (CPS) consisting of multiple interdependent subsystems, each managed by a different defender. Defenders invest their sec…
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples
Guanxiong Liu, Issa Khalil, Abdallah Khreishah
Adversarial examples have become one of the largest challenges that machine learning models, especially neural network classifiers, face. These adversarial examples break the assum…