trusted execution environment

AntTech

Nov 29, 2024 · Artificial Intelligence

AI Inference with Trusted Execution Environment: HyperGPU and DistMSM Accelerated Zero‑Knowledge Proofs Win 2024 Financial Cipher Cup Innovation Award

The award‑winning solution combines a GPU‑accelerated TEE framework (HyperGPU) and a multi‑GPU zkSNARK acceleration scheme (DistMSM) to provide fast, privacy‑preserving AI inference proofs, earning the third‑place Innovation Team prize at the 2024 Financial Cipher Cup competition.

DistMSMFinancial CipherGPU Acceleration

0 likes · 6 min read

AI Inference with Trusted Execution Environment: HyperGPU and DistMSM Accelerated Zero‑Knowledge Proofs Win 2024 Financial Cipher Cup Innovation Award

AntTech

Oct 18, 2024 · Information Security

CNCC2024 Confidential Computing Forum – Schedule, Speakers, and Research Abstracts

The second Confidential Computing Forum at CNCC2024, held on October 26 in Hangzhou, gathers leading experts to discuss TEE‑based secure computing, present cutting‑edge research on confidentiality, side‑channel attacks, collaborative trust, and cryptographic applications, and outlines future directions for data security in the digital economy.

confidential computingdata securityinformation security

0 likes · 10 min read

CNCC2024 Confidential Computing Forum – Schedule, Speakers, and Research Abstracts

AntTech

Jul 19, 2023 · Information Security

IEEE 2952-2023 Standard for Secure Computing Based on Trusted Execution Environment – Technical Overview

The IEEE 2952-2023 standard, jointly released by Ant Group and multiple partners, defines a comprehensive technical framework for secure computing using Trusted Execution Environments, covering isolation, confidentiality, compatibility, performance, availability, and security, and outlines reference implementations, cluster management, and remote attestation mechanisms.

IEEE Standardconfidential computingsecure computing

0 likes · 7 min read

IEEE 2952-2023 Standard for Secure Computing Based on Trusted Execution Environment – Technical Overview

vivo Internet Technology

Apr 5, 2023 · Information Security

TrustZone Architecture: Hardware-Level Privacy Protection for Smartphones

TrustZone implements a hardware‑level privacy shield for smartphones by partitioning CPU, bus, memory, peripherals and interrupts into a Secure World and a Normal World, using ARMv8 exception levels and extensions such as SCR, TZPC, TZASC, GIC and MMU to isolate user data from non‑secure software.

ARM SecurityMemory ProtectionMobile Security

0 likes · 12 min read

TrustZone Architecture: Hardware-Level Privacy Protection for Smartphones

AntTech

Dec 11, 2022 · Information Security

Occlum v1.0: Open‑Source Trusted Execution Environment OS with Major Performance Gains and Spark Big Data Integration

Occlum v1.0, the open‑source trusted execution environment operating system released by Ant Group, delivers up to five‑fold performance improvements, supports over 150 Linux syscalls, introduces async I/O, dynamic memory management, and a Spark‑BigDL big‑data analysis solution, while outlining future GPU and TDX extensions.

Big DataOcclumSpark

0 likes · 11 min read

Occlum v1.0: Open‑Source Trusted Execution Environment OS with Major Performance Gains and Spark Big Data Integration

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.

TECCinformation securityperformance

0 likes · 10 min read

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

DataFunSummit

Oct 8, 2022 · Information Security

Exploring Privacy Computing Technologies in the Open Financial Ecosystem

This article provides a comprehensive overview of privacy computing—covering its background, key techniques such as MPC, TEE, federated learning, homomorphic encryption, and differential privacy—and examines how these technologies are applied in open financial ecosystems, including use cases, challenges, and future directions.

Federated Learningblockchainfinancial data

0 likes · 25 min read

Exploring Privacy Computing Technologies in the Open Financial Ecosystem

DataFunSummit

Sep 22, 2022 · Information Security

Privacy Computing Enables Secure Medical Data Sharing and Analysis

This presentation introduces how privacy‑preserving computation technologies such as federated learning, trusted execution environments, and cryptographic methods empower the secure flow, analysis, and value extraction of large‑scale medical health data while addressing de‑identification risks and regulatory constraints.

Big DataFederated Learningai

0 likes · 19 min read

Privacy Computing Enables Secure Medical Data Sharing and Analysis

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.

Big Datablockchaindistributed computing

0 likes · 12 min read

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

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.

HyperEnclavecross-platformperformance

0 likes · 4 min read

HyperEnclave: An Open and Cross‑Platform Trusted Execution Environment

AntTech

Jun 16, 2022 · Information Security

Privacy Computing: How Digital Technologies Address Privacy Protection Pain Points

This article examines the rapid growth of privacy computing in China, outlining policy and market drivers, explaining key technologies such as secure multiparty computation, trusted execution environments, homomorphic encryption, differential privacy and federated learning, and discussing the legal, technical and ecosystem challenges that hinder its wider adoption.

Federated LearningSecure Multiparty Computationdata security

0 likes · 11 min read

Privacy Computing: How Digital Technologies Address Privacy Protection Pain Points

AntTech

Dec 21, 2021 · Artificial Intelligence

Ant Group Wins CCF Scientific and Technological Awards for AI Anti‑Fraud System and Blockchain Data Privacy Technology

Ant Group's AI‑driven anti‑fraud risk perception and response system and its trusted‑execution‑environment based blockchain data privacy technology were honored with the 2021 CCF Scientific and Technological Excellence and Outstanding Awards, highlighting significant advances in proactive fraud defense, explainable AI, and on‑chain privacy protection.

AI anti‑fraudAnt GroupBlockchain privacy

0 likes · 4 min read

Ant Group Wins CCF Scientific and Technological Awards for AI Anti‑Fraud System and Blockchain Data Privacy Technology

AntTech

Dec 21, 2021 · Information Security

Hardware‑Software Integration Accelerates Privacy Computing: Technical Overview

The article explains how combining hardware and software solutions can address the data‑lifecycle security and cryptographic performance challenges of privacy computing, describing the underlying technology stack, acceleration techniques, and the integrated privacy‑computing appliance released by Ant Group.

cryptographydata securityhardware acceleration

0 likes · 13 min read

Hardware‑Software Integration Accelerates Privacy Computing: Technical Overview

OPPO Kernel Craftsman

Mar 5, 2021 · Information Security

Introduction to TEE (Trusted Execution Environment) and Its Application in Fingerprint Authentication

The article explains how Trusted Execution Environments (TEE), built on ARM TrustZone, provide a secure world separate from the Rich Execution Environment, detailing its architecture, GP API interactions, and how fingerprint enrollment and authentication are performed within TEE to protect sensitive biometric data.

ARM TrustZoneGP APIMobile Security

0 likes · 10 min read

Introduction to TEE (Trusted Execution Environment) and Its Application in Fingerprint Authentication

AntTech

Jul 17, 2020 · Artificial Intelligence

Privacy-Preserving Shared Intelligence: Secure AI Techniques for Financial Services

This article outlines how Ant Group’s shared‑intelligence platform combines differential privacy, trusted execution environments, and secure multi‑party computation to enable privacy‑preserving AI and data collaboration across financial scenarios, addressing regulatory demands, technical challenges, and real‑world deployment cases.

Data SharingFinancial AIdifferential privacy

0 likes · 19 min read

Privacy-Preserving Shared Intelligence: Secure AI Techniques for Financial Services

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.

Ant GroupData Sharingmulti-party computation

0 likes · 17 min read

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

AntTech

Apr 24, 2020 · Artificial Intelligence

Interpretation of the Shared Intelligence Standard and Its Practical Applications

This article explains the classification, value, and detailed interpretation of the first national shared intelligence standard, describes its technical background and solutions such as Trusted Execution Environments and Secure Multi‑Party Computation, and showcases real‑world applications and industry recognitions.

Ant GroupData Sharingai

0 likes · 13 min read

Interpretation of the Shared Intelligence Standard and Its Practical Applications

AntTech

Mar 4, 2020 · Artificial Intelligence

Shared Intelligence vs. Federated Learning: Ant Group’s Privacy‑Preserving Machine Learning Solutions for Finance

The article explains how Ant Group tackles the privacy‑usability trade‑off in AI by combining Trusted Execution Environments and Multi‑Party Computation into a “shared intelligence” framework, contrasting it with federated learning, detailing technical architectures, training workflows, and its impact on financial data sharing.

Data SharingFederated Learningfinancial technology

0 likes · 14 min read

Shared Intelligence vs. Federated Learning: Ant Group’s Privacy‑Preserving Machine Learning Solutions for Finance

AntTech

Sep 30, 2019 · Information Security

Confidential Computing and SOFAEnclave: Ant Financial’s Innovations in Secure Cloud‑Native Middleware

The article explains how Ant Financial leverages confidential computing technologies such as Intel SGX, the Occlum LibOS, and the KubeTEE cloud‑native cluster to build the SOFAEnclave middleware, addressing security, usability, and scalability challenges for financial‑grade data protection and multi‑party AI workloads.

KubeTEEOcclumSOFAEnclave

0 likes · 16 min read

Confidential Computing and SOFAEnclave: Ant Financial’s Innovations in Secure Cloud‑Native Middleware

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.

Data Sharingaiant financial

0 likes · 15 min read

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