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Non-Malleable Codes for Decision Trees
non-malleable codes decision trees small-depth circuits
2019/4/16
We construct efficient, unconditional non-malleable codes that are secure against tampering functions computed by decision trees of depth d=n1/4−o(1)d=n1/4−o(1). In particular, each bit of...
Non-Malleable Codes from Average-Case Hardness: AC0, Decision Trees, and Streaming Space-Bounded Tampering
non-malleable codes streaming
2017/11/3
We show a general framework for constructing non-malleable codes against tampering families with average-case hardness bounds. Our framework adapts ideas from the Naor-Yung double encryption paradigm ...
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation
privacy-preserving private data
2016/7/29
Many data-driven personalized services require that private data of users is scored against a trained machine learning model. In this paper we propose a novel protocol for privacy-preserving classific...