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M. A. Wani

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Open access 2026

HEbdMIA: Lightweight Logit Encryption for Membership Inference Defense

HEbdMIA is a lightweight homomorphic encryption-based defense that operates at the post-inference stage by encrypting model output logits without requiring retraining or architectural modifications, indicating that HEbdMIA provides an effective, scalable, and deployment-friendly solution for enhancing privacy in real-w...

Akash Shah, M. A. Wani, R. Chaturvedi et al. · 0 citations
Open access Jul 2026

Prediction and Modeling of Traffic Status at Road Intersection Using Deep-Learning Models

This study proposes a deep-learning-based approach for short-term traffic-state classification using real-world traffic data collected during 2022 at the Alésia intersection in Paris, and demonstrates that recurrent architectures substantially outperform the ANN baseline, highlighting the importance of temporal depende...

Chaymae Chouiekh, Ali Yahyaouy, M. A. Sabri et al. · 0 citations

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