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On Information Flow Control and Audit for Demonstrable Compliance in the Cloud.

, , and . Tiny Trans. Comput. Sci., (2016)

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Personal data and the internet of things., , and . Commun. ACM, 62 (6): 32-34 (2019)Practical whole-system provenance capture., , , , , , and . SoCC, page 405-418. ACM, (2017)Demonstrating the Practicality of Unikernels to Build a Serverless Platform at the Edge., , , and . CloudCom, page 25-32. IEEE, (2020)ProvMark: A Provenance Expressiveness Benchmarking System., , , , , , , and . Middleware, page 268-279. ACM, (2019)Provenance-based Intrusion Detection: Opportunities and Challenges., , and . TaPP, USENIX Association, (2018)SIGL: Securing Software Installations Through Deep Graph Learning., , , , , , , and . USENIX Security Symposium, page 2345-2362. USENIX Association, (2021)Unicorn: Runtime Provenance-Based Detector for Advanced Persistent Threats., , , , and . NDSS, The Internet Society, (2020)FRAPpuccino: Fault-detection through Runtime Analysis of Provenance., , , , and . HotCloud, USENIX Association, (2017)Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization., , , and . IEEE BigData, page 266-275. IEEE, (2020)FlowR: aspect oriented programming for information flow control in ruby., , and . MODULARITY, page 37-48. ACM, (2014)