most citedCLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning

6 citations · 8 across the 5 of their papers we have counts for

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cs.CR2025

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting

Zhuo Chen, Zhenya Ma, Yan Zhang +8

Although federated learning preserves training data within local privacy domains, the aggregated model parameters may still reveal private characteristics. This vulnerability stems…

cs.CR2024★ 1 cited

You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks

Qiushi Li, Yan Zhang, Ju Ren +2

Image data have been extensively used in Deep Neural Network (DNN) tasks in various scenarios, e.g., autonomous driving and medical image analysis, which incurs significant privacy…