Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models

Fully decentralized training of machine learning models offers significant advantages in scalability, robustness, and fault tolerance. However, achieving differential privacy DP in such settings is challenging due to the absence of a central aggregator and varying trust assumptions among nodes. I...

ROS-20250526-07

Google Chrome browser vulnerability involves post-release memory usage. Exploitation of the vulnerability could allow an attacker acting remotely to impact privacy, integrity and availability of data through the use of a specially crafted HTML page...

Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy

Deep learning voice models are commonly used nowadays, but the safety processing of personal data, such as human identity and speech content, remains suspicious. To prevent malicious user identification, speaker anonymization methods were proposed. Current methods, particularly based on universal...

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs

As Artificial Intelligence AI systems, particularly those based on machine learning ML, become integral to high-stakes applications, their probabilistic and opaque nature poses significant challenges to traditional verification and validation methods. These challenges are exacerbated in regulated...

Evaluating Query Efficiency and Accuracy of Transfer Learning-Based Model Extraction Attack in Federated Learning

Federated Learning FL is a collaborative learning framework designed to protect client data, yet it remains highly vulnerable to Intellectual Property IP threats. Model extraction ME attacks pose a significant risk to Machine Learning as a Service MLaaS platforms, enabling attackers to replicate...

Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models

State-of-the-art membership inference attacks MIAs typically require training many reference models, making it difficult to scale these attacks to large pre-trained language models LLMs. As a result, prior research has either relied on weaker attacks that avoid training reference models e.g.,...

A Study of Semi-Fungible Token Based Wi-Fi Access Control

Current Wi-Fi authentication methods face issues such as insufficient security, user privacy leakage, high management costs, and difficulty in billing. To address these challenges, a Wi-Fi access control solution based on blockchain smart contracts is proposed. Firstly, semi-fungible Wi-Fi tokens...

Understanding the Relationship between Personal Data Privacy Literacy and Data Privacy Information Sharing by University Students

With constant threats to the safety of personal data in the United States, privacy literacy has become an increasingly important competency among university students, one that ties intimately to the information sharing behavior of these students. This survey based study examines how university...

CVE-2025-24116

An access issue was addressed with additional sandbox restrictions. This issue is fixed in macOS Sequoia 15.3, macOS Sonoma 14.7.3, macOS Ventura 13.7.3. An app may be able to bypass Privacy preferences...

CVE-2025-24134

An information disclosure issue was addressed with improved privacy controls. This issue is fixed in macOS Sequoia 15.3. An app may be able to access user-sensitive data...

CVE-2025-24174

The issue was addressed with improved checks. This issue is fixed in macOS Sequoia 15.3, macOS Sonoma 14.7.3, macOS Ventura 13.7.3. An app may be able to bypass Privacy preferences...

CVE-2025-24145

A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iOS 18.3 and iPadOS 18.3, macOS Sequoia 15.3. An app may be able to view a contact's phone number in system logs...

CVE-2024-25129

The CodeQL CLI repo holds binaries for the CodeQL command line interface CLI. Prior to version 2.16.3, an XML parser used by the CodeQL CLI to read various auxiliary files is vulnerable to an XML External Entity attack. If a vulnerable version of the CLI is used to process either a maliciously...

CVE-2024-29029

memos is a privacy-first, lightweight note-taking service. In memos 0.13.2, an SSRF vulnerability exists at the /o/get/image that allows unauthenticated users to enumerate the internal network and retrieve images. The response from the image request is then copied into the response of the current...

CVE-2024-23233

This issue was addressed with improved checks. This issue is fixed in macOS Sonoma 14.4. Entitlements and privacy permissions granted to this app may be used by a malicious app...

CVE-2024-23242

A privacy issue was addressed by not logging contents of text fields. This issue is fixed in iOS 17.4 and iPadOS 17.4, macOS Sonoma 14.4. An app may be able to view Mail data...

CVE-2024-23291

A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iOS 17.4 and iPadOS 17.4, macOS Sonoma 14.4, tvOS 17.4, watchOS 10.4. A malicious app may be able to observe user data in log entries related to accessibility notifications...

CVE-2024-23287

A privacy issue was addressed with improved handling of temporary files. This issue is fixed in iOS 17.4 and iPadOS 17.4, macOS Sonoma 14.4, watchOS 10.4. An app may be able to access user-sensitive data...

CVE-2024-23283

A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iOS 16.7.6 and iPadOS 16.7.6, macOS Monterey 12.7.4, macOS Sonoma 14.4, macOS Ventura 13.6.5. An app may be able to access user-sensitive data...

CVE-2024-23267

The issue was addressed with improved checks. This issue is fixed in macOS Monterey 12.7.4, macOS Sonoma 14.4, macOS Ventura 13.6.5. An app may be able to bypass certain Privacy preferences...