arXiv (All)
open access
HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data
A wide range of important cloud applications, e.g., database analytics, graph analytics, and genome analysis, spend a considerable amount of time performing bulk bitwise operations (e.g., AND, OR, XOR). These applications often operate on highly sensitive data, making data privacy a critical concern
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data#1318882
- Memory-Efficient Designs for Word-Wise Universal Fully Homomorphic Encryption#971438
- Survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies#671654
- VaultxGPU: GPU-Accelerated Blockchain Consensus#271782
- CrackMeBench: Binary Reverse Engineering for Agents#175319
Record · ID 1343902
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive