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e-SAFE: Secure, Efficient and Forensics-Enabled Access to Implantable Medical Devices.

, , , , and . CNS, page 1-9. IEEE, (2018)

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Cross-App Interference Threats in Smart Homes: Categorization, Detection and Handling., , , and . DSN, page 411-423. IEEE, (2020)Perception-oriented generative adversarial network for retinal fundus image super-resolution., , , and . Comput. Biol. Medicine, (January 2024)No More Companion Apps Hacking but One Dongle: Hub-Based Blackbox Fuzzing of IoT Firmware., , , and . MobiSys, page 205-218. ACM, (2023)Delay Wreaks Havoc on Your Smart Home: Delay-based Automation Interference Attacks., , , and . SP, page 285-302. IEEE, (2022)e-SAFE: Secure, Efficient and Forensics-Enabled Access to Implantable Medical Devices., , , , and . CNS, page 1-9. IEEE, (2018)Privacy-preserving use of genomic data on mobile devices., , , and . ICCC, page 1-6. IEEE, (2015)PFirewall: Semantics-Aware Customizable Data Flow Control for Home Automation Systems., , , and . CoRR, (2019)Two-party and multi-party private matching for proximity-based mobile social networks., , , , and . ICC, page 926-931. IEEE, (2014)FineRoute: Personalized and Time-Aware Route Recommendation Based on Check-Ins., , , and . IEEE Trans. Vehicular Technology, 66 (11): 10461-10469 (2017)Sample Efficient Offline-to-Online Reinforcement Learning., , , , , , and . IEEE Trans. Knowl. Data Eng., 36 (3): 1299-1310 (March 2024)