Privacy-Preserving Aggregate Mobility Data Release: An Information-Theoretic Deep Reinforcement Learning Approach

Computer Science

• Markov Decision Process 100%
• Privacy Preserving 100%
• Learning Approach 100%
• Deep Reinforcement Learning 100%
• Mutual Information 66%
• Reinforcement Learning 66%
• Aggregate Level 66%
• Experimental Result 33%
• Optimization Problem 33%
• Collected Data 33%
• Information Leakage 33%
• World Application 33%
• Minimization Problem 33%
• Protection Mechanism 33%
• Estimation Error 33%
• Its-Context 33%
• Privacy Protection 33%
• Driven Approach 33%
• Privacy Problem 33%
• Exponential Complexity 33%
• Privacy Leakage 33%
• Adversarial Machine Learning 33%

Keyphrases

• User Traces 12%
• Jensen-Shannon Divergence 12%
• Asynchronous Advantage Actor-critic 12%
• Adversary Attacks 12%
• Privacy Measures 12%
• Leakage Minimization 12%
• Leakage Attacks 12%