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PGPatch: Policy-Guided Logic Bug Patching for Robotic Vehicles., , , , and . SP, page 1826-1844. IEEE, (2022)Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach., , , , and . IEEE Access, (2022)Identifying Cross-origin Resource Status Using Application Cache., , and . NDSS, The Internet Society, (2015)Multi-agent Q-learning based cell breathing considering SBS collaboration for maximizing energy efficiency in B5G heterogeneous networks., , , , and . ICT Express, 8 (4): 525-529 (2022)Exploring and mitigating privacy threats of HTML5 geolocation API., , and . ACSAC, page 306-315. ACM, (2014)M2MON: Building an MMIO-based Security Reference Monitor for Unmanned Vehicles., , , , , and . USENIX Security Symposium, page 285-302. USENIX Association, (2021)PGFUZZ: Policy-Guided Fuzzing for Robotic Vehicles., , , , and . NDSS, The Internet Society, (2021)Inferring browser activity and status through remote monitoring of storage usage., , and . ACSAC, page 410-421. ACM, (2016)Low-Complexity Q-Learning for Energy-Aware Small-Cell Networks With Integrated Access and Backhaul., , , , , and . IEEE Access, (2023)Discovering Adversarial Driving Maneuvers against Autonomous Vehicles., , , , , and . USENIX Security Symposium, page 2957-2974. USENIX Association, (2023)