Succinctly Verifiable Computation over Additively-Homomorphically Encrypted Data: Making Privacy-Preserving Blueprints Practical

Lecture notes in computer science 2026

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Authors: Scott Griffy, Markulf Kohlweiss, Anna Lysyanskaya, Meghna Sengupta
DOI: 10.1007/978-3-032-26740-5_8
Cited by: 1
References: 42

Fields of Study & Subjects

Cryptography and Data Security Privacy-Preserving Technologies in Data Advanced Authentication Protocols Security

Publication details

Journal / source
Lecture notes in computer science
Publisher
Springer Nature Switzerland
Pages
235–269
Publication date
1 January 2026
Language
EN