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Extracting Threat Intelligence From Cheat Binaries For Anti-Cheating., , , and . RAID, page 17-31. ACM, (2023)Geo-locating Drivers: A Study of Sensitive Data Leakage in Ride-Hailing Services., , , and . NDSS, The Internet Society, (2019)A Measurement Study of Wechat Mini-Apps., , , , and . SIGMETRICS (Abstracts), page 19-20. ACM, (2021)Playing Without Paying: Detecting Vulnerable Payment Verification in Native Binaries of Unity Mobile Games., and . USENIX Security Symposium, page 3093-3110. USENIX Association, (2022)AUTHSCOPE: Towards Automatic Discovery of Vulnerable Authorizations in Online Services., , and . CCS, page 799-813. ACM, (2017)Automatic Uncovering of Hidden Behaviors From Input Validation in Mobile Apps., , , , and . SP, page 1106-1120. IEEE, (2020)Your IoTs Are (Not) Mine: On the Remote Binding Between IoT Devices and Users., , , , , , , , and . DSN, page 222-233. IEEE, (2019)DEMISTIFY: Identifying On-device Machine Learning Models Stealing and Reuse Vulnerabilities in Mobile Apps., , , , , and . ICSE, page 41:1-41:13. ACM, (2024)Exploiting Contactless Side Channels in Wireless Charging Power Banks for User Privacy Inference via Few-shot Learning., , , , , , , and . MobiCom, page 73:1-73:15. ACM, (2023)Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels., , , , , , , , and . SP, page 3399-3415. IEEE, (2023)