SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective

In software development, privacy preservation has become essential with the rise of privacy concerns and regulations such as GDPR and CCPA. While several tools, guidelines, methods, methodologies, and frameworks have been proposed to support developers embedding privacy into software applications...

Silenzio: Secure Non-Interactive Outsourced MLP Training

Outsourcing the ML training to cloud providers presents a compelling opportunity for resource constrained clients, while it simultaneously bears inherent privacy risks, especially for highly sensitive training data. We introduce Silenzio, the first fully non-interactive outsourcing scheme for the...

Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption

Plaintext-ciphertext matrix multiplication PC-MM is an indispensable tool in privacy-preserving computations such as secure machine learning and encrypted signal processing. While there are many established algorithms for plaintext-plaintext matrix multiplication, efficiently computing...

Privacy-Preserving CNN Training with Transfer Learning: Two Hidden Layers

Whitepaper called Privacy-Preserving CNN Training With Transfer Learning: Two Hidden Layers...

Measuring Computational Universality of Fully Homomorphic Encryption

Many real-world applications, such as machine learning and graph analytics, involve combinations of linear and non-linear operations. As these applications increasingly handle sensitive data, there is a significant demand for privacy-preserving computation techniques capable of efficiently...

Detecting Pegasus Infections

This tool seems to do a pretty good job. The company's Mobile Threat Hunting feature uses a combination of malware signature-based detection, heuristics, and machine learning to look for anomalies in iOS and Android device activity or telltale signs of spyware infection. For paying iVerify...

AI Industry is Trying to Subvert the Definition of “Open Source AI”

The Open Source Initiative has published news article here its definition of "open source AI," and it's terrible. It allows for secret training data and mechanisms. It allows for development to be done in secret. Since for a neural network, the training data is the source code--it's how the model...

Privacy watchdog files complaint over Firefox quietly enabling its Privacy Preserving Attribution

A European privacy watchdog has filed a complaint against Mozilla for quietly enabling Privacy Preserving Attribution PPA in its Firefox browser. Noyb none of your business argues that despite its reassuring name, the feature allows the browser to track your online behavior. By design, Privacy...

Mozilla Faces Privacy Complaint for Enabling Tracking in Firefox Without User Consent

Vienna-based privacy non-profit noyb short for None Of Your Business has filed a complaint with the Austrian data protection authority DPA against Firefox maker Mozilla for enabling a new feature called Privacy-Preserving Attribution PPA without explicitly seeking users' consent. "Contrary to its...

Seventh Sense Unveils Revolutionary Privacy-Preserving Face-Based Public Key Infrastructure and eID Solution

Singapore, SG, 10th September 2024, CyberNewsWire...

CVE-2024-32969

CVE-2024-32969 affects the vantage6 open‑source privacy-preserving analysis infrastructure. The underlying issue is improper access control: collaboration administrators can add extra organizations to a collaboration, which can extend their influence and allow those organizations to create new us...

vantage6 安全漏洞

vantage6 is a vantage6 open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability exists in versions of vantage6 prior to 4.5.0 that stems from the ability of collaboration administrators to add additional organizations to their...

vantage6 Security Vulnerabilities

vantage6 is vantage6 open source an open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability exists in versions of vantage6 prior to 4.2.1, which stems from an unrestricted CORS setting...

Zama Secures $73M Series A Lead for Homomorphic Encryption

By cyberwire Company Open Sources FHE Libraries to Build Privacy-Preserving Blockchain and AI Applications for the First Time. This is a post from HackRead.com Read the original post: Zama Secures $73M Series A Lead for Homomorphic Encryption...

Unspecified vulnerability in vantage6 (CNVD-2024-07865)

vantage6 is vantage6 open source an open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability exists in vantage that stems from the fact that input is not checked to see if it is encrypted if the task is created in encrypted...

Unspecified vulnerability in vantage6 (CNVD-2024-07864)

vantage6 is vantage6 open source an open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability previously existed in vantage6 version 4.2.0 that stemmed from the ability to find out a username from the response time of a login request...

vantage6 Security Vulnerabilities

vantage6 is a vantage6 open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability previously existed in vantage6 version 4.2.0 that stemmed from an authenticated user being able to inject code into an algorithmic environment variable...

vantage6 Security Vulnerabilities

vantage6 is vantage6 open source an open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability previously existed in vantage6 version 4.2.0 that stemmed from the ability to find out a username from the response time of a login request...

vantage6 安全漏洞

vantage6 is vantage6 open source an open source priVAcy preserviNg federalTed leArningG infrastructure for Secure Insight eXchange. A security vulnerability exists in vantage that stems from the fact that input is not checked to see if it is encrypted if the task is created in encrypted...

Front-Running

Lines of code Vulnerability details Impact Visible computed input amounts could be susceptible to front-running by malicious actors. Proof of Concept Provide direct links to all referenced code in GitHub. Add screenshots, logs, or any other relevant proof that illustrates the concept. Tools Used...