Ergebnisse für: Secure multi-party computation
Hier findest Du Bücher, die sich mit Secure multi-party computation beschäftigen.
This book focuses on multi-party computation (MPC) protocols in the passive corruption model (also known as the semi-honest or honest-but-curious model). The authors present seminal possibility and feasibility results in this model and includes formal security proofs. Even though the passive corru...
This book presents a holistic view on compiler assisted practical secure multi-party computation (MPC) over Boolean circuits. It discusses that two or more parties jointly evaluate a function over their inputs in such a way that each party keeps its input unknown to the other parties in MPC. MPC pro...
This book presents a holistic view on compiler assisted practical secure multi-party computation (MPC) over Boolean circuits. It discusses that two or more parties jointly evaluate a function over their inputs in such a way that each party keeps its input unknown to the other parties in MPC. MPC pro...
This book focuses on multi-party computation (MPC) protocols in the passive corruption model (also known as the semi-honest or honest-but-curious model). The authors present seminal possibility and feasibility results in this model and includes formal security proofs. Even though the passive corru...
This book focuses on multi-party computation (MPC) protocols in the passive corruption model (also known as the semi-honest or honest-but-curious model). The authors present seminal possibility and feasibility results in this model and includes formal security proofs. Even though the passive corru...
This book presents a rigorous and comprehensive treatment of federated learning as a foundational paradigm for privacy-preserving artificial intelligence. Integrating theoretical principles with implementation strategies and domain-specific applications, it offers a unified framework for understandi...
In the setting of multi-party computation, sets of two or more parties with private inputs wish to jointly compute some (predetermined) function of their inputs. General results concerning secure two-party or multi-party computation were first announced in the 1980s. Put briefly, these results asser...
In the setting of multi-party computation, sets of two or more parties with private inputs wish to jointly compute some (predetermined) function of their inputs. General results concerning secure two-party or multi-party computation were first announced in the 1980s. Put briefly, these results asser...
This textbook provides a unique lens through which the myriad of existing Privacy Enhancing Technologies (PETs) can be easily comprehended and appreciated. It answers key privacy-centered questions with clear and detailed explanations.Why is privacy important? How and why is your privacy being ...
The 8-volume set LNCS 16000-16008 constitutes the proceedings of the 45th Annual International Cryptology Conference, CRYPTO 2025, which took place in Santa Barbara, CA, USA, during August 17-21, 2025.
The total of 156 full papers presented in the proceedings was carefully reviewed and selected from...
This two-volume set, LNICST 605 and 606, constitutes the refereed post-conference proceedings of the 14th International Conference on Wireless and Satellite Services, WiSATS 2024, held in Harbin, China during August 23–25, 2024.
The 42 full papers and 20 short papers presented here were...
The four-volume set LNCS 16268-16271 constitutes the refereed proceedings of the 23rd International Conference on Theory of Cryptography, TCC 2025, held in Aarhus, Denmark, during December 1–5, 2025. The total of 70 full papers presented in the proceedings was carefully reviewed and selected from ...