This book includes 4 parts. The first part provides the basic knowledge that an application developer should be aware of, in order to understand the Fully Homomorphic Encryption FHE technology. The authors present various techniques to leverage the unique features of FHE and to overcome its characteristic limitations in the second and third parts of this book. Specifically, the second part summarizes in one section many polynomial approximation techniques that are often used by FHE applications, and the third part discusses some packing schemes based on a data structure called tile tensors. Finally, part four demonstrates how to use the studied techniques in several specific privacy preserving inference applications. Examples and exercises are included throughout this book.
The proliferation of practical FHE technology has triggered a wide interest in this field, and now there is a common wish to experience and understand it. Still, the authors see that most books and scientific papers related to FHE target a cryptographic audience and thus make it hard for lay readers or readers from other fields of expertise to enter the domain. This book aims to simplify the FHE world for those who are interested in privacy preserving data science tasks.
This book is designed as a textbook mainly for under-graduate and graduate-level students in computer science (and ML or DS). Data scientists, applied cryptographers, software/hardware engineers and CISO/CPO/ Cyber Security & Privacy SMEs, who plan to work on secure/encrypted models will want to purchase this book as a reference.
Allon Adir holds an M.Sc. in Computer Science from the Technion - Israel Institute of Technology, and is now a researcher in the AI Security group at IBM Research - Israel in Haifa. Allon worked on research related to hardware verification, and then on applications of analytics to Cyber-security. Allon is currently working on novel encryption schemes and their application in the context of security and privacy preservation. Allon has authored many publications and patents related to the above fields, and is an IBM Master Inventor.
Ehud is currently with IBM Research in Haifa, Israel. Ehud received an M.Sc. in computer science from the Technion - Israel Institute of Technology. He worked several years on machine learning projects in the fields of hardware verification, healthcare, and anomaly detection for computer systems. Later, he worked on various applications of machine learning to cyber security. Ehud is currently working on novel encryption schemes in the context of security and privacy preservation.
Nir Drucker is a Security, Privacy & Cryptography Research Scientist at IBM Research - Israel, the AI Security group that develop the IBM HElayers SDK. He holds a Ph.D. in Applied Mathematics (Cryptography) from the University of Haifa and an M.Sc. degree in Operations Research from the faculty of Industrial Engineering & Management of the Technion I.I.T. Nir worked 3.5 years as a Senior Applied Scientist in AWS, the Cryptographic Algorithms Team, and eight years as a Software Developer at Intel in two teams: a) a team that developed low-level security features (e.g., SGX) in FW/SW; b) a team that developed a CAD VLSI timing verification simulator in C/C++. His research interests involve applied cryptography and applied security. In particular, research that combines these domains with the latest development in the machine-learning field. For example, researching Privacy-Preserving Machine Learning (PPML) solutions that involve Homomorphic Encryption (HE) or multi party computation (MPC).
Ronen Levy is a senior manager, leading the Security & Privacy department in the IBM Research - Israel lab also responsible for the IBM Research strategy around Data Security. He holds a B.A in Mathematics from the University of Haifa and with over 30 years of experience in R&D he has been driving innovation in various domains such as hybrid-cloud, software quality, privacy, cyber-security and cryptography. Before joining IBM Research 14 years ago he worked in various R&D development roles in the industry developing products such as Anti-Virus, Distributed Query Processor, Application Server and Enterprise Storage System.
Hayim is currently with IBM Research in Haifa, Israel. Hayim completed his PhD in computational geometry under the supervision of Prof. Micha Sharir in Tel- Aviv University. Following his studies, Hayim cofounded and served as CTO of DiviNetworks, a company funded by the IFC, that focused on network optimizations. After that, he joined MIT as a research fellow in the CSAIL lab doing research in homomorphic encryption. At IBM Research Hayim is continuing his work on secure multi-party computation.
Omri Soceanu is the head of the AI Security research group at IBM Research Haifa. He holds a B.Sc. and M.Sc. in Electrical Engineering from the Technion - Israel Institute of Technology. Before becoming the head of the AI Security group, Omri worked on various aspects of data security, employing machine learning techniques in a Big Data setting using state-of-the-art approaches. Omri has several years of hands-on experience working on embedded systems, cryptography, cybersecurity, and machine learning algorithms.
