Privacy Preserving Recursive Least Squares Solutions
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[1] Michael Zohner,et al. ABY - A Framework for Efficient Mixed-Protocol Secure Two-Party Computation , 2015, NDSS.
[2] Somesh Jha,et al. Privacy-Preserving Ridge Regression with only Linearly-Homomorphic Encryption , 2018, IACR Cryptol. ePrint Arch..
[3] Cynthia Dwork,et al. Differential privacy and robust statistics , 2009, STOC '09.
[4] Tomas Toft,et al. On Secure Two-Party Integer Division , 2012, Financial Cryptography.
[5] Dan Bogdanov,et al. Sharemind: A Framework for Fast Privacy-Preserving Computations , 2008, ESORICS.
[6] Eike Kiltz,et al. Unconditionally Secure Constant Round Multi-Party Computation for Equality, Comparison, Bits and Exponentiation , 2006, IACR Cryptol. ePrint Arch..
[7] Mariana Raykova,et al. Privacy-Preserving Distributed Linear Regression on High-Dimensional Data , 2017, Proc. Priv. Enhancing Technol..
[8] Kazuo Ohta,et al. Multiparty Computation for Interval, Equality, and Comparison Without Bit-Decomposition Protocol , 2007, Public Key Cryptography.
[9] Peter Rindal,et al. ABY3: A Mixed Protocol Framework for Machine Learning , 2018, IACR Cryptol. ePrint Arch..
[10] Dan Bogdanov,et al. Rmind: A Tool for Cryptographically Secure Statistical Analysis , 2016, IEEE Transactions on Dependable and Secure Computing.
[11] Ivan Damgård,et al. Secure Multiparty Computation and Secret Sharing , 2015 .
[12] G. Dullerud,et al. Differential Privacy and Minimum-Variance Unbiased Estimation in Multi-agent Control Systems , 2017 .
[13] Jerome Le Ny,et al. On differentially private Kalman filtering , 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[14] Qiuliang Xu,et al. Multiparty Computation for Modulo Reduction without Bit-Decomposition and A Generalization to Bit-Decomposition , 2010, IACR Cryptol. ePrint Arch..
[15] Paolo Palmieri,et al. Passengers information in public transport and privacy: Can anonymous tickets prevent tracking? , 2014, Int. J. Inf. Manag..
[16] Payman Mohassel,et al. SecureML: A System for Scalable Privacy-Preserving Machine Learning , 2017, 2017 IEEE Symposium on Security and Privacy (SP).
[17] George J. Pappas,et al. Privacy in Control and Dynamical Systems , 2018 .
[18] Claudio Orlandi,et al. Is multiparty computation any good in practice? , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[19] Stephen B. Wicker,et al. Inferring Personal Information from Demand-Response Systems , 2010, IEEE Security & Privacy.
[20] Stratis Ioannidis,et al. Privacy-Preserving Ridge Regression on Hundreds of Millions of Records , 2013, 2013 IEEE Symposium on Security and Privacy.
[21] Geir E. Dullerud,et al. Differential Privacy in Linear Distributed Control Systems: Entropy Minimizing Mechanisms and Performance Tradeoffs , 2017, IEEE Transactions on Control of Network Systems.
[22] Xinping Guan,et al. Preserving Data-Privacy With Added Noises: Optimal Estimation and Privacy Analysis , 2017, IEEE Transactions on Information Theory.