English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Privacy-preserving analysis of confidential data can increase the value ofsuch data and even improve peoples' lives. Fully homomorphic encryption (FHE)can enable privacy-preserving analysis. However, FHE adds a large amount ofcomputational overhead and its efficient use requires a high level ofexpertise. Compilers can automate certain aspects such as parameterization andcircuit optimizations. This in turn makes FHE accessible to non-cryptographers.Yet, multi-party scenarios remain complicated and exclude many promising usecases such as analyses of large amounts of health records for medical research.Proxy re-encryption (PRE), a technique that allows the conversion of data frommultiple sources to a joint encryption key, can enable FHE for multi-partyscenarios. Today, there are no optimizing compilers for FHE with PREcapabilities.  We propose HElium, the first optimizing FHE compiler with native support forproxy re-encryption. HElium features HEDSL, a domain-specific language (DSL)specifically designed for multi-party scenarios. By tracking encryption keysand transforming the computation circuit during compilation, HElium minimizesthe number of expensive PRE operations. We evaluate the effectiveness ofHElium's optimizations based on the real-world use case of the tumor recurrencerate, a well-known subject of medical research. Our empirical evaluation showsthat HElium substantially reduces the overhead introduced through complex PREoperations, an effect that increases for larger amounts of input data.

HElium: A Language and Compiler for Fully Homomorphic Encryption with Support for Proxy Re-Encryption