Jul 3, 2023 · This paper studies the safe reinforcement learning (RL)-based semantic location privacy protection mechanism (LPPM) in three-dimensional (3D) ...
Abstract—The rapid growth and evolution of indoor location- based services (LBS) increase the risk of location privacy breaches. Additionally, the semantic ...
Nov 7, 2023 · This mechanism uses multi-thread technology to interact with the environment independently to accelerate the policy selection in complex 3D LPP ...
A safe Dueling Double DQN (D3QN)-based 3D LPPM (SDLPPM) to adaptively explore the perturbation policy, avoiding the overestimation of Q-values and reducing ...
闵明慧,minminghui,中国矿业大学主页平台系统, Indoor Semantic Location Privacy Protection With Safe Reinforcement Learning闵明慧,
A scheme to adaptively adjust the perturbation policy based on reinforcement learning (RL) with safe exploration and a safe deep RL-based 3D location ...
To find a compromise between privacy protection and service quality Minghui et al. [148] present a reinforcement learning (RL)-based approach for adaptively ...
闵明慧,minminghui,中国矿业大学主页平台系统, Indoor Semantic Location Privacy Protection With Safe Reinforcement Learning闵明慧,
Reinforcement learning-based sensitive semantic location privacy ...
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Indoor Semantic Location Privacy Protection With Safe Reinforcement Learning;IEEE Transactions on Cognitive Communications and Networking;2023-10. 全球学者库.
The existing solution to protect the location privacy and the semantic location privacy of users in such LBSNs is to obfuscate the location and the semantic tag ...