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AntTech
AntTech
Jun 17, 2020 · Artificial Intelligence

Shared Intelligence: Combining Trusted Execution Environments and Multi‑Party Computation for Privacy‑Preserving Machine Learning at Ant Group

This article presents Ant Group's shared‑intelligence solution that integrates Trusted Execution Environments (TEE) and Multi‑Party Computation (MPC) to enable privacy‑preserving data sharing and large‑scale machine‑learning across untrusted parties, discusses industry progress, technical evolution, practical deployments, and future challenges.

data sharingmulti-party computationtrusted execution environment
0 likes · 17 min read
Shared Intelligence: Combining Trusted Execution Environments and Multi‑Party Computation for Privacy‑Preserving Machine Learning at Ant Group
DataFunSummit
DataFunSummit
Sep 11, 2022 · Information Security

Privacy and Reliability in Big Data Collaboration: Trusted Execution Environments and Blockchain Coordination

This article presents a technical overview of the security challenges in multi‑party big‑data collaboration and explains how Trusted Execution Environments (TEE) and blockchain can be combined to protect data privacy, ensure computation integrity, and enable traceable data usage in distributed systems.

TEEblockchainprivacy
0 likes · 12 min read
Privacy and Reliability in Big Data Collaboration: Trusted Execution Environments and Blockchain Coordination
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Feb 23, 2024 · Industry Insights

How Trusted Execution Environments are Shaping Data Security and Privacy Computing

The article examines the rapid growth of China's digital economy, the rising demand for secure data circulation, and how Trusted Execution Environments (TEE) are evolving through hardware and software advances, interoperability efforts, and large‑model privacy solutions to address emerging security challenges.

Industry trendsPrivacy ComputingSecure Computing
0 likes · 17 min read
How Trusted Execution Environments are Shaping Data Security and Privacy Computing
Baidu Geek Talk
Baidu Geek Talk
Jun 2, 2021 · Industry Insights

How Federated Computing Secures Data While Powering AI: Core Techniques Explained

This article provides a concise technical overview of federated computing, covering its origins, core cryptographic methods such as MPC, garbled circuits, secret sharing, homomorphic encryption, and TEE, and explains how Baidu applies these technologies to enable privacy‑preserving AI in advertising and other industries.

AIData PrivacyFederated Learning
0 likes · 12 min read
How Federated Computing Secures Data While Powering AI: Core Techniques Explained
DataFunSummit
DataFunSummit
Mar 13, 2023 · Information Security

Unified Remote Attestation for TEE Interoperability: A Practical Overview

This article presents a comprehensive overview of TEE interoperability, describing the background of trusted execution environments, their remote attestation processes, a unified remote attestation framework, and the overall strategy for achieving cross‑TEE compatibility, including open‑source implementations and future directions.

TEEUnified Attestationremote attestation
0 likes · 9 min read
Unified Remote Attestation for TEE Interoperability: A Practical Overview
AntTech
AntTech
Dec 22, 2023 · Information Security

2023 Security and Trustworthy Computing Research Summary – 14 Papers Accepted at Top International Conferences

In late 2023, Ant Group and academic partners reported fourteen security‑focused research papers accepted at top venues such as USENIX Security, ACM CCS, and USENIX ATC, covering privacy‑preserving computation, secure two‑party GBDT training, macOS kernel fuzzing, privacy‑preserving ML frameworks, Rust OOM handling, and more.

MPCSystemscryptography
0 likes · 18 min read
2023 Security and Trustworthy Computing Research Summary – 14 Papers Accepted at Top International Conferences
AntTech
AntTech
Jun 28, 2023 · Information Security

Research Report on Interoperability of Heterogeneous Trusted Execution Environments in Financial Privacy Computing

The report details a collaborative effort led by UnionPay and Ant Group to create a unified remote attestation framework that enables interoperability among diverse TEE solutions, demonstrating successful integration of five major TEE platforms and highlighting the significance for secure data flow in the financial sector.

TEEsecure enclave
0 likes · 6 min read
Research Report on Interoperability of Heterogeneous Trusted Execution Environments in Financial Privacy Computing
DataFunSummit
DataFunSummit
Nov 28, 2022 · Artificial Intelligence

Introduction to Federated Learning: Concepts, Key Technologies, and the Dianshi Federated Learning Platform

This article introduces the concept of federated learning, outlines its industry opportunities and challenges, explains the evolution of data‑sharing technologies, details core techniques such as MPC, TEE, and differential privacy, and presents the architecture and capabilities of the Dianshi federated learning platform.

AIMPCTEE
0 likes · 20 min read
Introduction to Federated Learning: Concepts, Key Technologies, and the Dianshi Federated Learning Platform
AntTech
AntTech
Jun 10, 2022 · Information Security

Trusted-Environment-based Cryptographic Computing (TECC): Patent Authorization and Performance Advances

Trusted-Environment-based Cryptographic Computing (TECC), an Ant Group innovation that combines cryptographic MPC/FL with full‑stack trusted execution, has secured a new patent and demonstrates 10‑ to 100‑fold speed improvements, enabling large‑scale encrypted data processing for privacy‑critical applications.

Privacy ComputingTECCcryptography
0 likes · 5 min read
Trusted-Environment-based Cryptographic Computing (TECC): Patent Authorization and Performance Advances
DataFunSummit
DataFunSummit
Jan 3, 2023 · Artificial Intelligence

Federated Learning Technology Application Innovation Exploration

This presentation reviews the rapid rise of privacy‑preserving computation and federated learning since 2018, explains the fundamentals and classifications of federated learning, and details five technical innovations implemented by China Telecom—including a standard architecture, data‑pollution detection, anti‑member‑inference inference, asynchronous optimization, and contribution‑value assessment—demonstrating practical AI solutions for large‑scale data security and privacy.

Artificial Intelligence
0 likes · 18 min read
Federated Learning Technology Application Innovation Exploration
DataFunTalk
DataFunTalk
Sep 9, 2019 · Artificial Intelligence

Federated Learning: Background, Techniques, Applications, and the FATE Open‑Source Platform

This article presents a comprehensive overview of federated learning, covering its motivation, vertical and horizontal variants, privacy‑preserving technologies, real‑world use cases, and the industrial‑grade open‑source platform FATE that enables secure cross‑organization machine learning.

Data CollaborationFATEFederated Learning
0 likes · 16 min read
Federated Learning: Background, Techniques, Applications, and the FATE Open‑Source Platform
AntTech
AntTech
Feb 12, 2025 · Information Security

Selected Ant Group Papers Presented at NDSS 2025

The 2025 NDSS conference in San Diego featured five Ant Group papers covering secure forensics for compromised TrustZone, privacy‑preserving inference for large Transformers, LLM‑driven shell command explanation, a scalable randomness beacon protocol, and enclave construction within confidential virtual machines.

Confidential ComputingNDSSShell Command Explanation
0 likes · 9 min read
Selected Ant Group Papers Presented at NDSS 2025
Alimama Tech
Alimama Tech
Oct 27, 2021 · Artificial Intelligence

Elastic Federated Learning Solution (EFLS): Architecture, Core Functions, and Technical Details

The Elastic Federated Learning Solution (EFLS) is Alibaba’s open‑source platform that enables privacy‑preserving vertical and horizontal federated learning for large‑scale sparse advertising, offering data‑intersection, high‑performance C++ training, a visual console, novel aggregation algorithms, and a roadmap toward multi‑party scaling and advanced encryption.

AdvertisingElastic Federated LearningFlink
0 likes · 16 min read
Elastic Federated Learning Solution (EFLS): Architecture, Core Functions, and Technical Details
AntTech
AntTech
Aug 17, 2019 · Artificial Intelligence

Shared Machine Learning: Tackling Data Islands with Trusted Execution Environments and Multi‑Party Computation

The article explains how data islands and privacy concerns hinder AI development and describes Ant Financial's shared machine learning approach, which combines Trusted Execution Environments (TEE) and Multi‑Party Computation (MPC) to enable secure, privacy‑preserving data sharing and collaborative model training across organizations.

AIAnt Financialdata sharing
0 likes · 15 min read
Shared Machine Learning: Tackling Data Islands with Trusted Execution Environments and Multi‑Party Computation
AntTech
AntTech
Jul 14, 2022 · Information Security

HyperEnclave: An Open and Cross‑Platform Trusted Execution Environment

The article introduces HyperEnclave, an open and cross‑platform Trusted Execution Environment that overcomes hardware‑binding limitations of traditional TEEs, supports multiple CPU architectures, offers three flexible enclave modes, and demonstrates superior performance across diverse workloads while maintaining strong security guarantees.

Cross‑platformHyperEnclavesecurity
0 likes · 4 min read
HyperEnclave: An Open and Cross‑Platform Trusted Execution Environment
DataFunSummit
DataFunSummit
Nov 5, 2022 · Information Security

TECC: A New Approach to Trusted Enclave Confidential Computing – Architecture, Security, and Performance

The article introduces TECC, a privacy‑computing framework that balances security and performance by using trusted execution environments, data secret‑sharing, lightweight cryptographic protocols, and Rust‑based implementation to enable near‑plaintext speed for secure multi‑party machine learning and data analysis.

Information SecurityPrivacy ComputingRust
0 likes · 10 min read
TECC: A New Approach to Trusted Enclave Confidential Computing – Architecture, Security, and Performance
Alimama Tech
Alimama Tech
Sep 17, 2025 · Artificial Intelligence

How Federated Learning Balances Privacy and Collaboration in AI

Federated Learning enables multiple parties to collaboratively train a global AI model without sharing raw data, using techniques like local training, encrypted parameter exchange, and secure aggregation, while addressing privacy, communication efficiency, heterogeneity, and incentive challenges across horizontal, vertical, and transfer learning scenarios.

Federated LearningHorizontal FLSecure Aggregation
0 likes · 24 min read
How Federated Learning Balances Privacy and Collaboration in AI
AntTech
AntTech
Jan 20, 2021 · Information Security

IEEE Approves First TEE-Based Secure Computing Standard Led by Ant Group

Ant Group has led the IEEE to approve the world’s first standard for secure computing based on Trusted Execution Environments (TEE), outlining framework, functions, and security requirements, and aims to protect data privacy and sensitive code across cloud, blockchain, AI, and other emerging applications.

Data PrivacyIEEE StandardSecure Computing
0 likes · 6 min read
IEEE Approves First TEE-Based Secure Computing Standard Led by Ant Group
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Sep 8, 2023 · Blockchain

Can Trustworthy Blockchain Federated Learning Secure AI in Wireless Networks?

This article reviews the background and challenges of data security in wireless communications, introduces Trustworthy Blockchain-based Federated Learning (TBFL), details a two‑layer TBFL architecture with edge computing, discusses its features, key technologies, and autonomous‑driving applications, and outlines current limitations and future research directions.

AI securityWireless Networksautonomous driving
0 likes · 18 min read
Can Trustworthy Blockchain Federated Learning Secure AI in Wireless Networks?