Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees

A decision tree is an easy-to-understand tool that has been widely used for classification tasks. On the one hand, due to privacy concerns, there has been an urgent need to create privacy-preserving classifiers that conceal the user's input from the classifier. On the other hand, with the rise of...

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning

The widespread adoption of Artificial Intelligence AI has been driven by significant advances in intelligent system research. However, this progress has raised concerns about data privacy, leading to a growing awareness of the need for privacy-preserving AI. In response, there has been a seismic...

Preserving Privacy and Utility in LLM-Based Product Recommendations

Large Language Model LLM-based recommendation systems leverage powerful language models to generate personalized suggestions by processing user interactions and preferences. Unlike traditional recommendation systems that rely on structured data and collaborative filtering, LLM-based models proces...

CryptoUNets: Applying Convolutional Networks to Encrypted Data for Biomedical Image Segmentation

In this manuscript, we demonstrate the feasibility of a privacy-preserving U-Net deep learning inference framework, namely, homomorphic encryption-based U-Net inference. That is, U-Net inference can be performed solely using homomorphic encryption techniques. To our knowledge, this is the first...

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...

Property-Preserving Hashing for $\Ell_1$-Distance Predicates: Applications to Countering Adversarial Input Attacks

Perceptual hashing is used to detect whether an input image is similar to a reference image with a variety of security applications. Recently, they have been shown to succumb to adversarial input attacks which make small imperceptible changes to the input image yet the hashing algorithm does not...

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...

Moodle authorization headers preserved between "emulated redirects"

A flaw was found in moodle. The cURL wrapper in Moodle strips HTTPAUTH and USERPWD headers during emulated redirects, but retains other original request headers, so HTTP authorization header information could be unintentionally sent in requests to redirect URLs...

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...

CVE-2024-32969: Improper Access Control

vantage6 is an open-source infrastructure for privacy preserving analysis. Collaboration administrators can add extra organizations to their collaboration that can extend their influence. For example, organizations that they include can then create new users for which they know the passwords, and...

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...

[SECURITY] Fedora 40 Update: qpdf-11.9.0-1.fc40

QPDF is a command-line program that does structural, content-preserving transformations on PDF files. It could have been called something like pdf-to-pdf. It includes support for merging and splitting PDFs and to manipulate the list of pages in a PDF file. It is not a PDF viewer or a program...