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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...
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...