Xiaofeng Chen

This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face enormous security and privacy risks. In turn, it presents studies conducted to address privacy issues and a series of proposed solutions for ensuring privacy protection in machine learning tasks involving multiple parties. In closing, the book reviews state-of-the-art privacy-preserving techniques and examines the security threats they face.

Cryptographic definitions are often abstract and complex, making them challenging for beginners to understand and apply. This concise textbook/resource provides a structured introduction to cryptographic definitions, explaining the syntax definitions and security definitions of cryptographic primitives. It builds foundational knowledge by covering essential mathematical concepts and formal definitions in cryptology. Through a carefully designed learning curve, readers will grasp key elements, why they are defined this way, and how new definitions are developed. The book’s presentation enables readers to validate and propose cryptographic definitions, offering a step-by-step guide to understanding them. Topics and features: · Covers all essential components of cryptographic definitions from sets and functions, making the subject accessible to beginners · Introduces intermediate concepts to smooth the transition from basic principles to formal definitions · Equips readers with the skills to validate and propose cryptographic definitions, linking theory with research · Minimizes unnecessary complexity while retaining depth, thereby ensuring a smooth learning experience Advanced undergraduate students, security engineers, and professionals interested in the formal foundations of cryptographic definitions will find the work an invaluable guide. The text is also an ideal reference for graduate students and early-stage researchers in cryptology and computer security.

With the rapid development of cloud computing, the enterprises and individuals can outsource their sensitive data into the cloud server where they can enjoy high quality data storage and computing services in a ubiquitous manner. This is known as the outsourcing computation paradigm. Recently, the problem for securely outsourcing various expensive computations or storage has attracted considerable attention in the academic community. In this book, we focus on the latest technologies and applications of secure outsourcing computations. Specially, we introduce the state-of-the-art research for secure outsourcing some specific functions such as scientific computations, cryptographic basic operations, and verifiable large database with update. The constructions for specific functions use various design tricks and thus result in very efficient protocols for real-world applications. The topic of outsourcing computation is a hot research issue nowadays. Thus, this book will be beneficial to academic researchers in the field of cloud computing and big data security.