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cs.CR2026
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…
cs.CR2026
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…
cs.CR2026
Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
Yasamin Fayyaz, Li Yang, Khalil El-Khatib
CubeSats have revolutionized access to space by providing affordable and accessible platforms for research and education. However, their reliance on Commercial Off-The-Shelf (COTS)…