data privacy | BestHub

AntTech

Oct 22, 2024 · Information Security

Asterinas Confidential Computing Platform: Architecture, Core Components, and Real‑World Applications

The Asterinas open‑source confidential computing stack, released by leading Chinese research institutions and Ant Group, combines HyperEnclave, Occlum, and TrustFlow to provide a secure, nationally‑trusted TEE foundation for cloud, AI, and data‑intensive workloads, addressing the shortcomings of existing commercial TEEs and enabling trustworthy data flow across diverse industries.

AsterinasCloud Securityconfidential computing

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Asterinas Confidential Computing Platform: Architecture, Core Components, and Real‑World Applications

AntTech

Sep 25, 2024 · Information Security

Live Presentation of “Coral: Maliciously Secure Computation Framework for Packed and Mixed Circuits” – Paper Highlights and Insights

The announcement introduces the ACM CCS flagship conference, highlights the award‑winning Coral paper that advances malicious secure multi‑party computation with the novel RMFE packing algorithm, and invites readers to a live online session on September 26, 2024 for an in‑depth walkthrough of its theory, technical innovations, and future applications.

ACM CCSCoral FrameworkLive Presentation

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Live Presentation of “Coral: Maliciously Secure Computation Framework for Packed and Mixed Circuits” – Paper Highlights and Insights

ZhongAn Tech Team

Jun 11, 2024 · Artificial Intelligence

AI and Big Data Developments in Tech News

This article covers recent AI developments, big data challenges, and industry insights including AI course expansions, regulatory discussions, and tech company updates.

AIAI DevelopmentsRegulatory Issues

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AI and Big Data Developments in Tech News

Rare Earth Juejin Tech Community

May 7, 2024 · Mobile Development

Implementing Apple Privacy Manifest and SDK Signing for iOS Apps

This guide explains the recent Apple privacy‑manifest requirements, how to create and fill the privacy manifest file in Xcode 15, the key fields involved, and the steps and commands needed to sign third‑party SDKs for iOS app submission after May 1 2024.

App StorePrivacy ManifestSDK Signing

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Implementing Apple Privacy Manifest and SDK Signing for iOS Apps

JD Retail Technology

Oct 26, 2023 · Artificial Intelligence

Leveraging Large Language Models for Text-to-SQL: Prompt Design and End-to-End Pipeline

This article explains how large language models can be used to convert natural language queries into SQL statements, describes two main approaches—direct generation and fine‑tuned open‑source models—details prompt engineering techniques, and outlines an end‑to‑end pipeline that executes the generated SQL and summarizes results.

ChatGLMLLMPrompt Engineering

0 likes · 7 min read

Leveraging Large Language Models for Text-to-SQL: Prompt Design and End-to-End Pipeline

Airbnb Technology Team

Mar 17, 2023 · Information Security

Airbnb Data Privacy and Security Engineering: Automated Data Protection Service Overview

Airbnb’s Data Protection Service unifies privacy and security metadata, offering APIs that automate annotation verification, export and IDL validation, data‑subject‑rights orchestration, and secret‑leak detection, while assigning ownership, minimizing manual effort, and ensuring global, consistent compliance across the platform.

AirbnbCI checksautomated data protection

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Airbnb Data Privacy and Security Engineering: Automated Data Protection Service Overview

AntTech

Sep 23, 2022 · Information Security

Releasing Security Technology Productivity: Building a New Security System for Digital‑Physical Fusion

In this keynote, Ant Group's Vice President Zhao Wenbiao explains how security technology has evolved from a mere digital‑economy ballast into a catalyst that drives data value, outlines four new security characteristics—compliance, large‑scale intelligence, human‑centric responsibility, and ecosystem collaboration—and introduces the IMAGE framework that integrates interactive proactive security, multi‑party computation, AI adversarial intelligence, graph‑based risk prediction, and edge‑cloud coordination to support a holistic, high‑quality digital transformation.

artificial intelligencecloud computingdata privacy

0 likes · 12 min read

Releasing Security Technology Productivity: Building a New Security System for Digital‑Physical Fusion

Architect

Sep 22, 2022 · Information Security

How to Perform Fuzzy Queries on Encrypted Data

This article examines various techniques for enabling fuzzy search on encrypted data, comparing naïve, conventional, and advanced algorithmic approaches, evaluating their security, performance, and storage trade‑offs, and provides practical implementation guidance and reference resources.

Databasedata privacyencryption

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How to Perform Fuzzy Queries on Encrypted Data

Airbnb Technology Team

Aug 26, 2022 · Information Security

Airbnb Data Privacy and Security Engineering: Inspekt Data Classification Service and Angmar Secret Detection

Airbnb’s second privacy‑security article describes how the Inspekt service automatically classifies personal and sensitive data across diverse stores using regexes, Aho‑Corasick tries, machine‑learning models and custom validators, measures validator quality, and how the Angmar system scans code repositories for secrets via CI checks and pre‑commit hooks, with plans to broaden coverage to more APIs and data stores.

Cloud SecurityMachine LearningSecret Detection

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Airbnb Data Privacy and Security Engineering: Inspekt Data Classification Service and Angmar Secret Detection

Sohu Tech Products

Aug 24, 2022 · Information Security

Approaches to Fuzzy Query on Encrypted Data

This article examines why encrypted data is unfriendly to fuzzy search, categorizes three implementation strategies—naïve, conventional, and advanced—analyzes their advantages and drawbacks, and recommends practical solutions for secure yet searchable encrypted fields.

Databasedata privacyencryption

0 likes · 10 min read

Approaches to Fuzzy Query on Encrypted Data

Architect's Tech Stack

Aug 24, 2022 · Information Security

Techniques for Performing Fuzzy Search on Encrypted Data

This article examines the challenges of fuzzy searching encrypted data and presents three categories of solutions—naïve, conventional, and advanced—detailing their implementation ideas, performance trade‑offs, and practical recommendations for secure and efficient query processing.

Databasedata privacyencryption

0 likes · 11 min read

Techniques for Performing Fuzzy Search on Encrypted Data

Java Architect Essentials

Aug 20, 2022 · Information Security

Techniques for Performing Fuzzy Search on Encrypted Data

This article examines why encrypted data is unfriendly to fuzzy queries, categorizes three implementation approaches—naïve, conventional, and advanced—and evaluates their security, performance, and storage trade‑offs while providing practical code examples and reference resources.

DatabasePerformancealgorithm

0 likes · 10 min read

IT Services Circle

Feb 15, 2022 · Information Security

Analysis of Deepin's "Resignation Tendency Analysis" Service and Its Privacy Implications

The article examines how Deepin's "Resignation Tendency Analysis" service monitors employee online behavior, outlines the features offered, discusses legal and privacy concerns, and presents public reactions and alternative viewpoints on the broader issue of workplace surveillance.

Behavior Analysisdata privacyemployee monitoring

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Analysis of Deepin's "Resignation Tendency Analysis" Service and Its Privacy Implications

DataFunSummit

Nov 6, 2021 · Artificial Intelligence

Federated Learning for Financial Data Sharing: Compliance, Auditable Solutions, and Blockchain‑Enabled Marketplace

This article presents a comprehensive overview of how federated learning can be applied to financial data sharing, covering regulatory pressures, audit‑ready blockchain solutions, privacy‑preserving PSI techniques, incentive‑driven data marketplaces, and future directions for secure, compliant AI deployment in the finance sector.

AIFederated LearningSecure Data Sharing

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Federated Learning for Financial Data Sharing: Compliance, Auditable Solutions, and Blockchain‑Enabled Marketplace

DataFunSummit

Aug 20, 2021 · Artificial Intelligence

Data Privacy and Differential Privacy Techniques in Machine Learning

This article reviews recent data privacy challenges in machine learning, explains the distinction between privacy and security, presents classic attacks and anonymization methods such as K‑anonymity, L‑diversity and T‑closeness, and details differential privacy techniques and their impact on model performance.

Machine Learninganonymizationdata privacy

0 likes · 17 min read

Data Privacy and Differential Privacy Techniques in Machine Learning

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.

IEEE Standarddata privacyinformation security

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

Full-Stack Internet Architecture

Sep 17, 2020 · Big Data

How Big Data Is Used for Price Discrimination and the New Regulations to Stop It

The article explains how big‑data algorithms enable online price discrimination—often called “kill‑familiar” pricing—illustrates real‑world e‑commerce examples, outlines the recently enacted Chinese online tourism regulation prohibiting such practices, and discusses broader data‑privacy and security concerns.

big dataconsumer rightsdata privacy

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How Big Data Is Used for Price Discrimination and the New Regulations to Stop It

JD Retail Technology

Sep 15, 2020 · Artificial Intelligence

Federated Learning and the 9NFL Platform: Architecture, Features, and Real‑World Applications

This article explains how federated learning addresses data‑island challenges under privacy regulations, introduces JD.com’s 9NFL federated learning platform, details its component‑based, high‑availability, high‑performance architecture, and showcases a successful advertising use case that boosted revenue by over 10%.

AIFederated LearningJD.com

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Federated Learning and the 9NFL Platform: Architecture, Features, and Real‑World Applications

JD Tech Talk

Jul 3, 2020 · Artificial Intelligence

Federated Learning vs Blockchain: Complementary Technologies and Their Integration

This article compares federated learning and blockchain, explains their shared trust foundation, outlines their distinct applications, and describes two integration patterns that combine privacy‑preserving AI with immutable decentralized ledgers to create new value in the digital economy.

Federated LearningTrustworthy Computingartificial intelligence

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Federated Learning vs Blockchain: Complementary Technologies and Their Integration

DataFunTalk

Apr 17, 2020 · Artificial Intelligence

Data Privacy and Differential Privacy Techniques for Machine Learning

The article reviews the growing importance of data privacy in machine learning, explains privacy concepts and attack vectors, and details anonymization methods such as k‑anonymity, l‑diversity, t‑closeness, as well as differential privacy techniques and their practical applications.

Machine Learningdata privacydifferential privacy

0 likes · 13 min read

Data Privacy and Differential Privacy Techniques for Machine Learning