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...

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...

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...

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...

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...

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,...

Roblox Lawsuit Claims Hidden Tracking Used to Monetize Kids Data

Roblox hit with class action over alleged secret tracking of kids' data; lawsuit claims privacy law violations and…...

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-2025-31250

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-2025-31242

A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iPadOS 17.7.7, macOS Ventura 13.7.6, macOS Sequoia 15.5, macOS Sonoma 14.7.6. 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...

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...

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-2025-31224

A logic issue was addressed with improved checks. This issue is fixed in macOS Sequoia 15.5, macOS Sonoma 14.7.6, macOS Ventura 13.7.6. An app may be able to bypass certain Privacy preferences...

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-2025-31224

A logic issue was addressed with improved checks. This issue is fixed in macOS Ventura 13.7.6, macOS Sequoia 15.5, macOS Sonoma 14.7.6. An app may be able to bypass certain Privacy preferences...

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-2025-31220

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-2025-31220

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

CVE-2025-24142

A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in macOS Sequoia 15.5, macOS Sonoma 14.7.6, macOS Ventura 13.7.6. An app may be able to access sensitive user data...