kingers Posted April 10 Report Share Posted April 10 Introduction to Secure Multi-party Computation (SMPC) Published 4/2024 Duration: 1h14m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 730 MB Genre: eLearning | Language: English [/center] Privacy-Preserving Collaborative Computation What you'll learn Basic concepts of Cryptography Basics of Secure Multi-Party Operations Secret Sharing Garbled Circuits Oblivious Transfers Homomorphic Encryption and Zero-Knowledge Proofs Secure Multiparty Summation Secure Multiparty Comparison Secure Function Evaluation Secure Set Intersection Secure Matrix Multiplication Secure Machine Learning Algorithms Privacy-Preserving Data Analytics Collaborative Machine Learning and Model Training Private Information Retrieval Requirements Basic understanding of programming Description Welcome to the "Introduction to Secure Multi-party Computation (SMPC)". In the age of information, dynamic decision making is often the first line of defence for organizations. But, the decision making has to be informed not only on the internal workings of the organization but also on the macro environment. This is why organizations need to collaborate among in the form of industry consortiums or networks themselves and this often involves data sharing. Apart from decision making, data sharing is often a requirement for various members of the same value chain say financial intermediaries or manufacturers, assemblers, and distributors. But, data sharing comes with own caveat - privacy concerns. Apart from privacy concerns, various regulations such as GDPR in Europe and HIPAA in the United States requires organizations to ensure the privacy and security of sensitive data. Also, with the rise of decentralized technologies such as blockchain and distributed computing, there is a growing need for secure and privacy-preserving computation protocols. This is where Secure Multi-Party Computation or SMPC comes in. Secure Multi-Party Computation (SMPC) enables collaborative data analysis, computation, and machine learning across multiple parties while preserving data privacy and confidentiality through cryptographic protocols and techniques. If you are more theoretically inclined, please refer to the papers attached to the lectures. All the best. Who this course is for: Anyone who wants to understand Secure Multi-party Computation (SMPC) in simple language. More Infohttps://voltupload.com/ieh17i0f27ct/Introduction_to_Secure_Multi-party_Computation_SMPC.ziphttps://rapidgator.net/file/aa17bf493ef03f4b46b73b3eb4e2bc0a/Introduction_to_Secure_Multi-party_Computation_SMPC.zipFree search engine download: Introduction to Secure Multi-party Computation (SMPC) Link to comment Share on other sites More sharing options...
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