12 citations · 14 across the 7 of their papers we have counts for
3 papers · 1 filter
Robustness of Anomaly Detection Models for Industrial Control Systems under Training-Time Data Contamination
Mustafa Umut Ozbek, Taiwo Ojo, Pooria Madani +2
Machine-learning-based anomaly detection is increasingly used in industrial control systems (ICS), yet most studies assume that detector training data is trustworthy. In practice,…
Robust Ensemble of Selectively Strengthened and Augmented Predictors
Parsa Memarzadehsaghezi, Zahra Hashemi, Pooria Madani +1
Evasion attacks present a significant challenge to the robustness of machine learning (ML)-based classifiers, particularly in critical applications such as fraud detection and cybe…
SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation
Parsa Memarzadehsaghezi, Pooria Madani, Khalil El-Khatib
Large code language models (CodeLLMs) can generate and rewrite programs, enabling functionality-preserving code mutation that may be used to create diverse malware variants and eva…