Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers

Deep Neural Networks DNNs are notoriously vulnerable to adversarial input designs with limited noise budgets. While numerous successful attacks with subtle modifications to original input have been proposed, defense techniques against these attacks are relatively understudied. Existing defense...

Measuring Modern Phishing Tactics: a Quantitative Study of Body Obfuscation Prevalence, Co-Occurrence, and Filter Impact

Phishing attacks frequently use email body obfuscation to bypass detection filters, but quantitative insights into how techniques are combined and their impact on filter scores remain limited. This paper addresses this gap by empirically investigating the prevalence, co-occurrence patterns, and...

GNSS Spoofing Detection Based on Opportunistic Position Information

The limited or no protection for civilian Global Navigation Satellite System GNSS signals makes spoofing attacks relatively easy. With modern mobile devices often featuring network interfaces, state-of-the-art signals of opportunity SOP schemes can provide accurate network positions in replacemen...

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference

Differential privacy DP auditing aims to provide empirical lower bounds on the privacy guarantees of DP mechanisms like DP-SGD. While some existing techniques require many training runs that are prohibitively costly, recent work introduces one-run auditing approaches that effectively audit DP-SGD...

SUSE CVE-2022-49944

In the Linux kernel, the following vulnerability has been resolved: Revert "usb: typec: ucsi: add a common function ucsiunregisterconnectors" The recent commit 87d0e2f41b8c "usb: typec: ucsi: add a common function ucsiunregisterconnectors" introduced a regression that caused NULL dereference at...

CVE-2022-49944

In the Linux kernel, the following vulnerability has been resolved: Revert "usb: typec: ucsi: add a common function ucsiunregisterconnectors" The recent commit 87d0e2f41b8c "usb: typec: ucsi: add a common function ucsiunregisterconnectors" introduced a regression that caused NULL dereference at...

UBUNTU-CVE-2022-49944

In the Linux kernel, the following vulnerability has been resolved: Revert "usb: typec: ucsi: add a common function ucsiunregisterconnectors" The recent commit 87d0e2f41b8c "usb: typec: ucsi: add a common function ucsiunregisterconnectors" introduced a regression that caused NULL dereference at...

CVE-2022-49944 Revert "usb: typec: ucsi: add a common function ucsi_unregister_connectors()"

In the Linux kernel, the following vulnerability has been resolved: Revert "usb: typec: ucsi: add a common function ucsiunregisterconnectors" The recent commit 87d0e2f41b8c "usb: typec: ucsi: add a common function ucsiunregisterconnectors" introduced a regression that caused NULL dereference at...

Graph Neural Networks for Jamming Source Localization

Graph-based learning provides a powerful framework for modeling complex relational structures; however, its application within the domain of wireless security remains significantly underexplored. In this work, we introduce the first application of graph-based learning for jamming source...

USN-7536-2 cifs-utils regression

USN-7536-1 fixed vulnerabilities in cifs-utils. This update introduced a regression in certain environments. This update fixes the problem. We apologize for the inconvenience. Original advisory details: It was discovered that cifs-utils incorrectly handled namespaces when obtaining Kerberos...

USN-7536-2: cifs-utils regression

USN-7536-1 fixed vulnerabilities in cifs-utils. This update introduced a regression in certain environments. This update fixes the problem. We apologize for the inconvenience. Original advisory details: It was discovered that cifs-utils incorrectly handled namespaces when obtaining Kerberos...

Computational Attestations of Polynomial Integrity Towards Verifiable Machine-Learning

Machine-learning systems continue to advance at a rapid pace, demonstrating remarkable utility in various fields and disciplines. As these systems continue to grow in size and complexity, a nascent industry is emerging which aims to bring machine-learning-as-a-service MLaaS to market. Outsourcing...

Debian dla-4213 : curl - security update

The remote Debian 11 host has packages installed that are affected by a vulnerability as referenced in the dla-4213 advisory. ------------------------------------------------------------------------- Debian LTS Advisory DLA-4213-1 [email protected] https://www.debian.org/lts/security/...

PT-2025-29044

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The perf fuzzer identified a hard-lockup crash on a RaptorLake machine due to an issue in the icl update topdown event function. This crash occurs because the function is incorrectly...

[SECURITY] [DLA 4213-1] curl regression update

Debian LTS Advisory DLA-4213-1 [email protected] https://www.debian.org/lts/security/ Carlos Henrique Lima Melara June 11, 2025 https://wiki.debian.org/LTS Package : curl Version : 7.74.0-1.3+deb11u15 The initial fix for CVE-2023-27534 in curl made the handling of tilde way more strict ...

USN-7545-2: Apport regression

USN-7545-1 fixed a vulnerability in Apport. The update introduced a regression that prevented core dumps from being generated inside containers. This update fixes the problem. We apologize for the inconvenience. Original advisory details: Qualys discovered that Apport incorrectly handled metadata...

USN-7545-2 apport regression

USN-7545-1 fixed a vulnerability in Apport. The update introduced a regression that prevented core dumps from being generated inside containers. This update fixes the problem. We apologize for the inconvenience. Original advisory details: Qualys discovered that Apport incorrectly handled metadata...

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint

As LLMs are increasingly deployed in real-world applications, ensuring their ability to refuse malicious prompts, especially jailbreak attacks, is essential for safe and reliable use. Recently, activation steering has emerged as an effective approach for enhancing LLM safety by adding a refusal...

Differentially Private Sparse Linear Regression with Heavy-Tailed Responses

As a fundamental problem in machine learning and differential privacy DP, DP linear regression has been extensively studied. However, most existing methods focus primarily on either regular data distributions or low-dimensional cases with irregular data. To address these limitations, this paper...

Membership Inference Attacks for Unseen Classes

Shadow model attacks are the state-of-the-art approach for membership inference attacks on machine learning models. However, these attacks typically assume an adversary has access to a background nonmember data distribution that matches the distribution the target model was trained on. We initiat...