15 citations · 23 across the 5 of their papers we have counts for
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cs.LG2025
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer +1
The rise of reinforcement learning (RL) in critical real-world applications demands a fundamental rethinking of privacy in AI systems. Traditional privacy frameworks, designed to p…
cs.LG2021★ 1 cited
Learning Conjoint Attentions for Graph Neural Nets
Tiantian He, Yew-Soon Ong, Lu Bai
In this paper, we present Conjoint Attentions (CAs), a class of novel learning-to-attend strategies for graph neural networks (GNNs). Besides considering the layer-wise node featur…