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Vessels: efficient and scalable deep learning prediction on trusted processors.

, , , , , , and . SoCC, page 462-476. ACM, (2020)

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PrOS: Light-Weight Privatized Se cure OSes in ARM TrustZone., , , , and . IEEE Trans. Mob. Comput., 19 (6): 1434-1447 (2020)Protecting computer systems through eliminating or analyzing vulnerabilities.. Georgia Institute of Technology, Atlanta, GA, USA, (2017)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/58603).All Your Clicks Belong to Me: Investigating Click Interception on the Web., , , , and . USENIX Security Symposium, page 941-957. USENIX Association, (2019)SegFuzz: Segmentizing Thread Interleaving to Discover Kernel Concurrency Bugs through Fuzzing., , , and . SP, page 2104-2121. IEEE, (2023)Diagnosing Kernel Concurrency Failures with AITIA., , , , , and . EuroSys, page 94-110. ACM, (2023)Vessels: efficient and scalable deep learning prediction on trusted processors., , , , , , and . SoCC, page 462-476. ACM, (2020)PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications., , , , , , and . CODASPY, page 209-220. ACM, (2019)Protecting location privacy using location semantics., , , and . KDD, page 1289-1297. ACM, (2011)SpecDoctor: Differential Fuzz Testing to Find Transient Execution Vulnerabilities., , , and . CCS, page 1473-1487. ACM, (2022)CHANCEL: Efficient Multi-client Isolation Under Adversarial Programs., , , , , and . NDSS, The Internet Society, (2021)