SecureDrive-FL: Joint Differential Privacy and Gradient-Aware Selective Homomorphic Encryption for Federated Driver Monitoring

arXiv:2608.27108 · cs.CR, cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.CR, cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/tensorflow/privacy

Terminology

• Accuracy — 33× in this paper · explained in 1 episode
• Aggregation — 18× in this paper · explained in 1 episode
• Federated Learning — 14× in this paper · explained in 15 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Differential Privacy — 10× in this paper · explained in 4 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Gradient-Aware Selective Homomorphic Encryption — 6× in this paper
• Fully Homomorphic Encryption — 5× in this paper
• Edge Devices — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Differentially Private — 2× in this paper · explained in 3 episodes
• Hybrid Approach — 2× in this paper · explained in 4 episodes
• Internet of Things — 2× in this paper
• AUC — 1× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Fully Homomorphic Encryption (FHE) — 1× in this paper · explained in 5 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• SIGSAC Conference on Computer and Communications Security — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Differentially Private Federated Learning: A Client Level Perspective
• Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments
• TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
• Real-time Distracted Driver Posture Classification

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