[SECURITY] Fedora 42 Update: rust-astral-tokio-tar-0.6.1-1.fc42

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

[SECURITY] Fedora 44 Update: rust-astral-tokio-tar-0.6.1-1.fc44

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis

As over 200 million new malware samples are identified each year, antivirus systems must continuously adapt to the evolving threat landscape. However, retraining solely on new samples leads to catastrophic forgetting and exploitable blind spots, while retraining on the entire dataset incurs...

[SECURITY] Fedora 42 Update: rust-tar-0.4.45-1.fc42

A Rust implementation of a TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all at once...

[SECURITY] Fedora 43 Update: fvwm3-1.1.4-4.fc43

Fvwm is a window manager for X11. It is designed to minimize memory consumption, provide a 3D look to window frames, and implement a virtual desktop...

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection Via Chunk-Wise Aggregated Gradient Boosting

High-dimensional malware datasets often exhibit feature redundancy, instability, and scalability limitations, which hinder the effectiveness and interpretability of machine learning-based malware detection systems. Although feature selection is commonly employed to mitigate these issues, many...

[SECURITY] Fedora 41 Update: rust-astral-tokio-tar-0.5.6-1.fc41

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

[SECURITY] Fedora 43 Update: mirrorlist-server-3.0.8-1.fc43

The mirrorlist-server uses the data created by MirrorManager2 https://github.com/fedora-infra/mirrormanager2 to answer client request for the "best" mirror. This implementation of the mirrorlist-server is written in Rust. The original version of the mirrorlist-server was part of the MirrorManager...

EUVD-2023-34282

Malicious code in bioql PyPI...

[SECURITY] Fedora 41 Update: rust-astral-tokio-tar-0.5.5-1.fc41

A Rust implementation of an async TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all ...

[SECURITY] Fedora 41 Update: mirrorlist-server-3.0.7-7.fc41

The mirrorlist-server uses the data created by MirrorManager2 https://github.com/fedora-infra/mirrormanager2 to answer client request for the "best" mirror. This implementation of the mirrorlist-server is written in Rust. The original version of the mirrorlist-server was part of the MirrorManager...

[SECURITY] Fedora 42 Update: mirrorlist-server-3.0.7-7.fc42

The mirrorlist-server uses the data created by MirrorManager2 https://github.com/fedora-infra/mirrormanager2 to answer client request for the "best" mirror. This implementation of the mirrorlist-server is written in Rust. The original version of the mirrorlist-server was part of the MirrorManager...

Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models

Differential Privacy DP is a widely adopted technique, valued for its effectiveness in protecting the privacy of task-specific datasets, making it a critical tool for large language models. However, its effectiveness in Multimodal Large Language Models MLLMs remains uncertain. Applying Differenti...

Adversarially Robust Spiking Neural Networks with Sparse Connectivity

Deployment of deep neural networks in resource-constrained embedded systems requires innovative algorithmic solutions to facilitate their energy and memory efficiency. To further ensure the reliability of these systems against malicious actors, recent works have extensively studied adversarial...

This Week in Spring - January 9th, 2024

Hi, Spring fans! Welcome to another installment of This Week in Spring! It's the second week of 2024, and I am already thinking about 2025! And, a bit more immediatelt than that: the next two weeks. I'll be at both VOXXED DAYS Ticino and VOXXED DAYS CERN, both in Switzerland. If you're about, com...

Clustering App Attacks with Machine Learning Part 3: Algorithm Results

In the previous blog posts in this series, we discussed the motivation for clustering attacks and the data used and how to calculate the distance between two attacks using different methods on each feature we extracted. In this final blog post, we’ll discuss the clustering algorithm itself – how ...

What happens when you read a response?

There's a bit of disagreement over the behaviour of requests and responses in the fetch API, curious to know what you think… Setting the scene The new fetch API gives the web proper Request and Response primitives. fetch'/whatever'.thenfunctionresponse return response.body.asJSON; .thenfunctionda...