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Dominance as a New Trusted Computing Primitive for the Internet of Things.

, , , , , , , , , and . IEEE Symposium on Security and Privacy, page 1415-1430. IEEE, (2019)

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Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps., , , and . USENIX Security Symposium, page 1955-1972. USENIX Association, (2021)Dominance as a New Trusted Computing Primitive for the Internet of Things., , , , , , , , , and . IEEE Symposium on Security and Privacy, page 1415-1430. IEEE, (2019)OEI: Operation Execution Integrity for Embedded Devices., , , and . CoRR, (2018)OAT: Attesting Operation Integrity of Embedded Devices., , , and . SP, page 1433-1449. IEEE, (2020)Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps., , and . CoRR, (2020)Shreds: Fine-Grained Execution Units with Private Memory., , , and . IEEE Symposium on Security and Privacy, page 56-71. IEEE Computer Society, (2016)VButton: Practical Attestation of User-driven Operations in Mobile Apps., , , , , , , and . MobiSys, page 28-40. ACM, (2018)ShadowNet: A Secure and Efficient System for On-device Model Inference., , , and . CoRR, (2020)PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary., , , , , , , and . AsiaCCS, page 633-645. ACM, (2019)ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks., , , , , and . SP, page 1596-1612. IEEE, (2023)