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Home/Authors/Parsa Memarzadehsaghezi

Parsa Memarzadehsaghezi

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2

Frequent co-authors

Pooria Madani2×
Zahra Hashemi1×
Mehran Ebrahimi1×
Khalil El-Khatib1×

Research Timeline

2026
Robust Ensemble of Selectively Strengthened and Augmented Predictors

The paper proposes RESSAP, a novel ensemble framework that significantly enhances the robustness of machine learning classifiers against adversarial evasion attacks by combining feature selection, ensemble prediction, and data augmentation.

SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation

The paper introduces SecRL-Prune, a structured reinforcement learning framework that effectively prunes CodeLLMs while preserving their critical ability to generate adversarial, functionality-preserving code mutations.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentJun 4, 2026

Robust Ensemble of Selectively Strengthened and Augmented Predictors

Parsa Memarzadehsaghezi, Zahra Hashemi, Pooria Madani, Mehran Ebrahimi

The paper proposes RESSAP, a novel ensemble framework that significantly enhances the robustness of machine learning classifiers against adversarial evasion attacks by combining feature selection, ens…

View →
cs.CRRecentJun 4, 2026

SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation

Parsa Memarzadehsaghezi, Pooria Madani, Khalil El-Khatib

The paper introduces SecRL-Prune, a structured reinforcement learning framework that effectively prunes CodeLLMs while preserving their critical ability to generate adversarial, functionality-preservi…

View →