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On the Protection of Private Information in Machine Learning Systems: Two Recent Approches.

, , , , , , , and . CSF, page 1-6. IEEE Computer Society, (2017)

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Enforcing Forward-Edge Control-Flow Integrity in GCC & LLVM., , , , , , and . USENIX Security Symposium, page 941-955. USENIX Association, (2014)A Theory of Secure Control Flow., , , and . ICFEM, volume 3785 of Lecture Notes in Computer Science, page 111-124. Springer, (2005)RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response., , and . ACM Conference on Computer and Communications Security, page 1054-1067. ACM, (2014)The Inlined Reference Monitor Approach to Security Policy Enforcement.. Cornell University, USA, (2004)Data-Driven Software Security: Models and Methods.. CSF, page 9-15. IEEE Computer Society, (2016)Using web application construction frameworks to protect against code injection attacks., and . PLAS, page 95-104. ACM, (2007)Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity., , , , , and . SODA, page 2468-2479. SIAM, (2019)Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries., , and . Proc. Priv. Enhancing Technol., 2016 (3): 41-61 (2016)Automated Analysis of Security-Critical JavaScript APIs., , , , and . IEEE Symposium on Security and Privacy, page 363-378. IEEE Computer Society, (2011)IRM Enforcement of Java Stack Inspection., and . S&P, page 246-255. IEEE Computer Society, (2000)