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Privacy-Preserving Machine Learning for Speech Processing by Manas A. Pathak

24 February 2017 adminPower Systems

By Manas A. Pathak

This thesis discusses the privateness matters in speech-based purposes resembling biometric authentication, surveillance, and exterior speech processing companies. writer Manas A. Pathak provides options for privacy-preserving speech processing functions reminiscent of speaker verification, speaker id and speech attractiveness. the writer additionally introduces a few of the instruments from cryptography and laptop studying and present suggestions for making improvements to the potency and scalability of the provided options. Experiments with prototype implementations of the ideas for execution time and accuracy on standardized speech datasets also are incorporated within the textual content. utilizing the framework proposed may well now guarantee that a surveillance employer to hear for a recognized terrorist with out having the ability to listen dialog from non-targeted, blameless civilians.

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Footnote 1 continued) develop the theory of SMC protocols. We refer to this as the bottom-up approach. For the ease of exposition and maintaining the speech-based application theme of the thesis, we instead take a top-down approach of starting with SMC protocols for practical applications and work down to the necessary cryptographic primitives. The readers are also encouraged to refer to Cramer (1999), Cramer et al. (2009) for a detailed review of the subject. 24 3 Privacy Background Private Linear Classification.

The parties submit their inputs to the TTP, which performs the necessary computation and submits the output back to the respective parties. The TTP is expected to be incorruptible: it executes a pre-specified set of commands on the input data provided by the parties, correctly outputs the result and later deletes the input data. We show this in Fig. 1. No party ever gets the opportunity to observe the input or the output belonging to any other party, and therefore the the privacy criteria of the SMC protocol are trivially satisfied in the ideal model.

In the information-theoretic model in the presence of an active and adaptive adversary, Ben-Or et al. , n3 parties are corrupted. Similar results were also obtained by Chaum et al. (1988). The efficiency of these constructions was improved on by Gennaro et al. (1998), Beerliová-Trubíniová and Hirt (2008). 4 Encryption Encryption is one of the most important operations in cryptography. This operation in the form of an encryption function E[·] allows one party to transform a message or data x, referred to as the plaintext, to an obfuscated form or ciphertext E[x].

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