CVE-2025-31242

A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iOS 18.5 and iPadOS 18.5, iPadOS 17.7.7, macOS Sequoia 15.5, macOS Sonoma 14.7.3, macOS Sonoma 14.7.6, macOS Ventura 13.7.3, macOS Ventura 13.7.6, tvOS 18.5, visionOS 2.5, watchOS 11.5. An a...

CVE-2025-31220

A privacy issue was addressed by removing sensitive data. This issue is fixed in iPadOS 17.7.7, macOS Sequoia 15.5, macOS Sonoma 14.7.6, macOS Ventura 13.7.6. A malicious app may be able to read sensitive location information...

CVE-2025-31225

A privacy issue was addressed by removing sensitive data. This issue is fixed in iOS 18.5 and iPadOS 18.5. Call history from deleted apps may still appear in spotlight search results...

CVE-2025-31250

An information disclosure issue was addressed with improved privacy controls. This issue is fixed in macOS Sequoia 15.5. An app may be able to access sensitive user data...

CVE-2025-31236

An information disclosure issue was addressed with improved privacy controls. This issue is fixed in macOS Sequoia 15.5. An app may be able to access sensitive user data...

GHSA-9CWV-PXCR-HFJC LF Edge eKuiper Vulnerable to Stored XSS in Configuration Key Functionality

Summary Stored Cross-Site Scripting XSS vulnerability allows attackers to inject malicious scripts into web applications, which can then be executed in the context of other users' browsers. This can lead to unauthorized access to sensitive information, session hijacking, and spreading of malware,...

Google to pay $1.38 billion over privacy violations

The state of Texas reached a mammoth financial agreement with Google last week, securing $1.375 billion in payments to settle two three year-old lawsuits. The Office of Texas Attorney General Ken Paxton originally filed the first lawsuit against Google in January 2022, complaining that the tech...

Privacy-Preserving Runtime Verification

Runtime verification offers scalable solutions to improve the safety and reliability of systems. However, systems that require verification or monitoring by a third party to ensure compliance with a specification might contain sensitive information, causing privacy concerns when usual runtime...

Correlating Account on Ethereum Mixing Service Via Domain-Invariant Feature Learning

The untraceability of transactions facilitated by Ethereum mixing services like Tornado Cash poses significant challenges to blockchain security and financial regulation. Existing methods for correlating mixing accounts suffer from limited labeled data and vulnerability to noisy annotations, whic...

Alibaba Cloud Linux 3 : 0040: webkit2gtk3 (ALINUX3-SA-2025:0040)

The remote Alibaba Cloud Linux 3 host has packages installed that are affected by multiple vulnerabilities as referenced in the ALINUX3-SA-2025:0040 advisory. Package updates are available for Alibaba Cloud Linux 3 that fix the following vulnerabilities: CVE-2024-54543: The issue was addressed wi...

Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data

Federated learning FL presents an effective solution for collaborative model training while maintaining data privacy across decentralized client datasets. However, data quality issues such as noisy labels, missing classes, and imbalanced distributions significantly challenge its effectiveness. Th...

DNS Query Forgery: a Client-Side Defense against Mobile App Traffic Profiling

Mobile applications continuously generate DNS queries that can reveal sensitive user behavioral patterns even when communications are encrypted. This paper presents a privacy enhancement framework based on query forgery to protect users against profiling attempts that leverage these background...

Cryptologic Techniques and Associated Risks in Public and Private Security. an Italian and European Union Perspective with an Overview of the Current Legal Framework

This article examines the evolution of cryptologic techniques and their implications for public and private security, focusing on the Italian and EU legal frameworks. It explores the roles of cryptography, steganography, and quantum technologies in countering cybersecurity threats, emphasising th...

Information Leakage in Data Linkage

The process of linking databases that contain sensitive information about individuals across organisations is an increasingly common requirement in the health and social science research domains, as well as with governments and businesses. To protect personal data, protocols have been developed t...

Inference Attacks for X-Vector Speaker Anonymization

We revisit the privacy-utility tradeoff of x-vector speaker anonymization. Existing approaches quantify privacy through training complex speaker verification or identification models that are later used as attacks. Instead, we propose a novel inference attack for de-anonymization. Our attack is...

On the Interplay of Explainability, Privacy and Predictive Performance with Explanation-Assisted Model Extraction

Machine Learning as a Service MLaaS has gained important attraction as a means for deploying powerful predictive models, offering ease of use that enables organizations to leverage advanced analytics without substantial investments in specialized infrastructure or expertise. However, MLaaS...

Measuring the Accuracy and Effectiveness of PII Removal Services

This paper presents the first large-scale empirical study of commercial personally identifiable information PII removal systems -- commercial services that claim to improve privacy by automating the removal of PII from data broker's databases. Popular examples of such services include DeleteMe,...

Improved Algorithms for Differentially Private Language Model Alignment

Language model alignment is crucial for ensuring that large language models LLMs align with human preferences, yet it often involves sensitive user data, raising significant privacy concerns. While prior work has integrated differential privacy DP with alignment techniques, their performance...

Blockchain Technology: Core Mechanisms, Evolution, and Future Implementation Challenges

Blockchain technology has emerged as one of the most transformative digital innovations of the 21st century. This paper presents a comprehensive review of blockchain's fundamental architecture, tracing its development from Bitcoin's initial implementation to current enterprise applications. We...

Privacy-Preserving Analytics for Smart Meter (AMI) Data: a Hybrid Approach to Comply with CPUC Privacy Regulations

Advanced Metering Infrastructure AMI data from smart electric and gas meters enables valuable insights for utilities and consumers, but also raises significant privacy concerns. In California, regulatory decisions CPUC D.11-07-056 and D.11-08-045 mandate strict privacy protections for customer...