On the public citation graph
A Decentralized Private Data Marketplace using Blockchain and Secure Multi-Party Computation
0 signed · 35 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-36136-7_16openalex-snapshot
An Asymptotic Fully Polynomial Time Approximation Scheme for Bin Covering
inferredcites →https://doi.org/10.1007/3-540-44987-6_18openalex-snapshot
Multiparty Computation from Threshold Homomorphic Encryption
inferredcites →https://doi.org/10.1007/3-540-46766-1_34openalex-snapshot
Efficient Multiparty Protocols Using Circuit Randomization
inferredcites →https://doi.org/10.1007/978-3-030-12612-4_24openalex-snapshot
EPIC: Efficient Private Image Classification (or: Learning from the Masters)
inferredcites →https://doi.org/10.1007/978-3-030-34621-8_16openalex-snapshot
Multi-Key Homomorphic Encryption from TFHE
inferredcites →https://doi.org/10.1007/978-3-030-84245-1_9openalex-snapshot
ATLAS: Efficient and Scalable MPC in the Honest Majority Setting
inferredcites →https://doi.org/10.1007/978-3-030-90453-1_6openalex-snapshot
Blockchains Enable Non-interactive MPC
inferredcites →https://doi.org/10.1007/978-3-662-44381-1_22openalex-snapshot
Non-Interactive Secure Multiparty Computation
inferredcites →https://doi.org/10.1007/978-3-662-53644-5_9openalex-snapshot
Multi-key FHE from LWE, Revisited
inferredcites →https://doi.org/10.1016/0196-6774(84)90004-xopenalex-snapshot
On a dual version of the one-dimensional bin packing problem
inferredcites →https://doi.org/10.1016/j.dam.2005.03.020openalex-snapshot
Secure multi-party computation made simple
inferredcites →https://doi.org/10.1016/s0304-3975(03)00363-3openalex-snapshot
An asymptotic fully polynomial time approximation scheme for bin covering
inferredcites →https://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1109/sp.2017.15openalex-snapshot
Optimized Honest-Majority MPC for Malicious Adversaries — Breaking the 1 Billion-Gate Per Second Barrier
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/3548606openalex-snapshot
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1515/9783110595567-002openalex-snapshot
1. Introduction of machine learning
inferredcites →https://doi.org/10.18637/jss.v017.b05openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.56553/popets-2023-0030openalex-snapshot
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-25187-9_25openalex-snapshot
Trustworthy Data Exchange Through Decentralized Market Architectures with Embedded Privacy Preservation
inferred← citeshttps://doi.org/10.1007/978-3-032-39708-9_29openalex-snapshot
Quantum-Secure Multi-party Computation Models for Privacy-Preserving Decentralized Finance
inferred← citeshttps://doi.org/10.1007/s12083-024-01820-wopenalex-snapshot
An efficient and private economic evaluation scheme in data markets
inferred← citeshttps://doi.org/10.1016/b978-0-44-327726-9.00022-8openalex-snapshot
Blockchain integrated federated learning for privacy preserving artificial intelligence and sustainable smart city infrastructure
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108180openalex-snapshot
VESPACE: A verifiable blockchain-based data space solution to empower the data economy
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110712openalex-snapshot
Blockchain-assisted Verifiable Secure Multi-Party Data Computing
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104473openalex-snapshot
Privacy preservation techniques through data lifecycle: A comprehensive literature survey
inferred← citeshttps://doi.org/10.1038/s41598-025-14629-1openalex-snapshot
Privacy-preserving computation scheme for the maximum and minimum values of the sums of keyword-corresponding values in cross-chain data exchange
inferred← citeshttps://doi.org/10.1109/acsacw69556.2025.00027openalex-snapshot
Secure and Privacy-Preserving Secondary Data Use: A Framework for Cross-Domain Computation in the Encrypted Domain
inferred← citeshttps://doi.org/10.1109/idciot64235.2025.10914807openalex-snapshot
GreenTokenomics: Blockchain, AI, and Automation for Smarter Sustainability and Collaborative Ecosystem
inferred← citeshttps://doi.org/10.1145/3797161.3797227openalex-snapshot
Adaptive Consensus based on Cross-chain Reputation and Dynamic Role Transition
inferred← citeshttps://doi.org/10.3390/electronics13122425openalex-snapshot
TrustHealth: Enhancing eHealth Security with Blockchain and Trusted Execution Environments
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.