Ismail Lamaakal

#small language model Open access Oct 2026

AEGIS: Real-Time Latent-Space Backdoor Detection for Dependable and Secure Small Language Model Inference

Backdoor attacks pose a serious threat to small language models (SLMs) because compromised models can behave normally on benign inputs while producing attacker-specified outputs when a hidden trigger is activated. Existing defenses commonly require model retraining, operate only before deployment, rely on input-level s...

Jamal Boussouf, Ismail Lamaakal, Ibrahim Ouahbi et al. · Technologies · 0 citations

#federated learning Open access Sep 2026

A real-time federated TinyML framework for student behavior detection in smart classrooms

Smart classrooms increasingly require intelligent systems capable of detecting student behaviors in real time while preserving privacy and operating under limited computational resources. However, many existing approaches rely on centralized training and high-complexity deep learning models, limiting their suitability...

Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui et al. · Discover Artificial Intellig... · 0 citations

#small language model Open access Aug 2026

AEGIS: Real-Time Latent-Space Backdoor Detection for Dependable and Secure Small Language Model Inference

Backdoor attacks pose a serious threat to small language models (SLMs) because compromised models can behave normally on benign inputs while producing attacker-specified outputs when a hidden trigger is activated. Existing defenses commonly require model retraining, operate only before deployment, rely on input-level s...

Jamal Boussouf, Ismail Lamaakal, Ibrahim Ouahbi et al. · Preprints.org · 0 citations