
Privacy-Preserving Machine Learning for Speech Processing: 7 2013th Edition
Author(s): Manas A. Pathak (Author)
- Publisher: Springer
- Publication Date: 25 Oct. 2012
- Edition: 2013th
- Language: English
- Print length: 160 pages
- ISBN-10: 9781461446385
- ISBN-13: 9781461446385
Book Description
Editorial Reviews
From the Back Cover
The thesis introduces tools from cryptography and machine learning and current techniques for improving the efficiency and scalability of the presented solutions, as well as experiments with prototype implementations of the solutions for execution time and accuracy on standardized speech datasets. Using the framework proposed may make it possible for a surveillance agency to listen for a known terrorist, without being able to hear conversation from non-targeted, innocent civilians.
About the Author
Dr. Manas A. Pathak received the BTech degree in computer science from Visvesvaraya National Institute of Technology, Nagpur, India, in 2006, and the MS and PhD degrees from the Language Technologies Institute at Carnegie Mellon University (CMU) in 2009 and 2012 respectively. He is currently working as a research scientist at Adchemy, Inc. His research interests include intersection of data privacy, machine learning, speech processing.
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