activity
20242026
most citedEfficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption

4 citations · 4 across the 12 of their papers we have counts for

collaborators
Showing 2026 · cs.LGShow all

1 paper · 2 filters

cs.LG2026

Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving

Qi Wei, Junchao Fan, Zhao Yang +3

Reinforcement learning (RL) has shown considerable potential in autonomous driving (AD), yet its vulnerability to perturbations remains a critical barrier to real-world deployment.…