SafeTab-H: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B)

This article describes SafeTab-H, a disclosure avoidance algorithm applied to the release of the U.S. Census Bureau's Detailed Demographic and Housing Characteristics File B Detailed DHC-B as part of the 2020 Census. The tabulations contain household statistics about household type and tenure...

VIDSTAMP: a Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion Models

The rapid rise of video diffusion models has enabled the generation of highly realistic and temporally coherent videos, raising critical concerns about content authenticity, provenance, and misuse. Existing watermarking approaches, whether passive, post-hoc, or adapted from image-based techniques...

Can Differentially Private Fine-Tuning LLMs Protect against Privacy Attacks?

Fine-tuning large language models LLMs has become an essential strategy for adapting them to specialized tasks; however, this process introduces significant privacy challenges, as sensitive training data may be inadvertently memorized and exposed. Although differential privacy DP offers strong...

Enhancing Vulnerability Reports with Automated and Augmented Description Summarization

Public vulnerability databases, such as the National Vulnerability Database NVD, document vulnerabilities and facilitate threat information sharing. However, they often suffer from short descriptions and outdated or insufficient information. In this paper, we introduce Zad, a system designed to...

Automating Function-Level TARA for Automotive Full-Lifecycle Security

As modern vehicles evolve into intelligent and connected systems, their growing complexity introduces significant cybersecurity risks. Threat Analysis and Risk Assessment TARA has therefore become essential for managing these risks under mandatory regulations. However, existing TARA automation...

AI-Based Vulnerability Analysis of NFT Smart Contracts

With the rapid growth of the NFT market, the security of smart contracts has become crucial. However, existing AI-based detection models for NFT contract vulnerabilities remain limited due to their complexity, while traditional manual methods are time-consuming and costly. This study proposes an...

Case Study: Fine-Tuning Small Language Models for Accurate and Private CWE Detection in Python Code

Large Language Models LLMs have demonstrated significant capabilities in understanding and analyzing code for security vulnerabilities, such as Common Weakness Enumerations CWEs. However, their reliance on cloud infrastructure and substantial computational requirements pose challenges for analyzi...

PT-Mark: Invisible Watermarking for Text-To-Image Diffusion Models Via Semantic-Aware Pivotal Tuning

Watermarking for diffusion images has drawn considerable attention due to the widespread use of text-to-image diffusion models and the increasing need for their copyright protection. Recently, advanced watermarking techniques, such as Tree Ring, integrate watermarks by embedding traceable pattern...

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

Vision-language models VLMs, such as CLIP, have gained significant popularity as foundation models, with numerous fine-tuning methods developed to enhance performance on downstream tasks. However, due to their inherent vulnerability and the common practice of selecting from a limited set of...

The vulnerability of the software for adjusting performance with the Intel Extreme Tuning Utility (Intel XTU) involves an uncontrolled search path element, allowing attackers to enhance their privileges.

The vulnerability of the software for configuring Intel Extreme Tuning Utility Intel XTU is related to an uncontrolled element in the search process. Exploiting this vulnerability can allow attackers to enhance their privileges...

CVE-2022-49110

In the Linux kernel, the following vulnerability has been resolved: netfilter: conntrack: revisit gc autotuning as of commit 4608fdfc07e1 "netfilter: conntrack: collect all entries in one cycle" conntrack gc was changed to run every 2 minutes. On systems where conntrack hash table is set to large...

CVE-2022-49110 netfilter: conntrack: revisit gc autotuning

In the Linux kernel, the following vulnerability has been resolved: netfilter: conntrack: revisit gc autotuning as of commit 4608fdfc07e1 "netfilter: conntrack: collect all entries in one cycle" conntrack gc was changed to run every 2 minutes. On systems where conntrack hash table is set to large...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in Linux kernel that stems from a possible event overflow due to gc auto-tuning of netfilter conntrack...

Intel Extreme Tuning Utility 代码问题漏洞

Intel Extreme Tuning Utility is a software from Intel Corporation that can increase CPU frequency. In addition to supporting overclocking of CPUs and graphics cards, the software also features system hardware information detection and real-time monitoring of the current system status to ensure...

CVE-2024-5828

Expression Language Injection vulnerability in Hitachi Tuning Manager on Windows, Linux, Solaris allows Code Injection.This issue affects Hitachi Tuning Manager: before 8.8.7-00...

Moderate: Red Hat Security Advisory: tuned security update

An update for tuned is now available for Fast Datapath for Red Hat Enterprise Linux 7. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each...

The vulnerability of Intel Dynamic Tuning Technology (DTT) in system software drivers lies in the ability to disclose information in the erroneous data area, allowing an attacker to enhance their privileges.

The vulnerability of system software drivers related to Intel Dynamic Tuning Technology DTT involves the disclosure of information in the erroneous data area. Exploiting this vulnerability can allow attackers to enhance their privileges...

ROS-20250110-04

Vulnerability of instancecreate method of the program for monitoring and adaptive tuning of system devices tuned is related to insufficient input data validation when processing the instancename parameter. Exploitation of the vulnerability could allow an attacker to conduct spoofing attacks...

编号撤回

ASUS GPU Tweak is a GPU tuning tool from Asus China. This CVE number has been withdrawn...

DEBIAN-CVE-2022-48996

In the Linux kernel, the following vulnerability has been resolved: mm/damon/sysfs: fix wrong empty schemes assumption under online tuning in damonsysfssetschemes Commit da87878010e5 "mm/damon/sysfs: support online inputs update" made 'damonsysfssetschemes' to be called for running DAMON context,...