Membership Inference Attacks on Sequence Models

Sequence models, such as Large Language Models LLMs and autoregressive image generators, have a tendency to memorize and inadvertently leak sensitive information. While this tendency has critical legal implications, existing tools are insufficient to audit the resulting risks. We hypothesize that...

Comprehensive Vulnerability Analysis Is Necessary for Trustworthy LLM-MAS

This paper argues that a comprehensive vulnerability analysis is essential for building trustworthy Large Language Model-based Multi-Agent Systems LLM-MAS. These systems, which consist of multiple LLM-powered agents working collaboratively, are increasingly deployed in high-stakes applications bu...

STOPA: a Database of Systematic VariaTion of DeePfake Audio for Open-Set Source Tracing and Attribution

A key research area in deepfake speech detection is source tracing - determining the origin of synthesised utterances. The approaches may involve identifying the acoustic model AM, vocoder model VM, or other generation-specific parameters. However, progress is limited by the lack of a dedicated,...

FedShield-LLM: a Secure and Scalable Federated Fine-Tuned Large Language Model

Federated Learning FL offers a decentralized framework for training and fine-tuning Large Language Models LLMs by leveraging computational resources across organizations while keeping sensitive data on local devices. It addresses privacy and security concerns while navigating challenges associate...

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents

The rise of Large Language Models LLMs has revolutionized Graphical User Interface GUI automation through LLM-powered GUI agents, yet their ability to process sensitive data with limited human oversight raises significant privacy and security risks. This position paper identifies three key risks ...

Deconstructing Obfuscation: a Four-Dimensional Framework for Evaluating Large Language Models Assembly Code Deobfuscation Capabilities

Large language models LLMs have shown promise in software engineering, yet their effectiveness for binary analysis remains unexplored. We present the first comprehensive evaluation of commercial LLMs for assembly code deobfuscation. Testing seven state-of-the-art models against four obfuscation...

SQL Injection

Overview Affected versions of this package are vulnerable to SQL Injection via the QuerySubscribers function. An attacker can escalate privileges by injecting malicious SQL commands. Remediation Upgrade github.com/knadh/listmonk/models to version 5.0.0 or higher. References - GitHub Commit - POC...

QA-HFL: Quality-Aware Hierarchical Federated Learning for Resource-Constrained Mobile Devices with Heterogeneous Image Quality

This paper introduces QA-HFL, a quality-aware hierarchical federated learning framework that efficiently handles heterogeneous image quality across resource-constrained mobile devices. Our approach trains specialized local models for different image quality levels and aggregates their features...

VLMs Can Aggregate Scattered Training Patches

Whitepaper called VLMs Can Aggregate Scattered Training Patches...

Sylva: Tailoring Personalized Adversarial Defense in Pre-Trained Models Via Collaborative Fine-Tuning

Whitepaper called Sylva: Tailoring Personalized Adversarial Defense In Pre-Trained Models Via Collaborative Fine-Tuning...

SAMSUNG多款产品 安全漏洞

SAMSUNG Exynos and others are products of the South Korean company Samsung SAMSUNG.SAMSUNG Exynos is a series of SoC, Arm architecture based processors developed and produced by Samsung Mobile.SAMSUNG Exynos 1280 is a processor for mobile devices.SAMSUNG Exynos 2200 is a cell phone chip processor...

BitBypass: a New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage

The inherent risk of generating harmful and unsafe content by Large Language Models LLMs, has highlighted the need for their safety alignment. Various techniques like supervised fine-tuning, reinforcement learning from human feedback, and red-teaming were developed for ensuring the safety alignme...

Differentially Private Distribution Release of Gaussian Mixture Models Via KL-Divergence Minimization

Gaussian Mixture Models GMMs are widely used statistical models for representing multi-modal data distributions, with numerous applications in data mining, pattern recognition, data simulation, and machine learning. However, recent research has shown that releasing GMM parameters poses significan...

SAMSUNG Exynos 安全漏洞

SAMSUNG Exynos is a family of processors from South Korean company Samsung SAMSUNG. A security vulnerability exists in SAMSUNG Exynos, which stems from a double release vulnerability in the mobile processor that could lead to elevation of privilege. The following products are affected: SAMSUNG...

CVE-2025-5442

A vulnerability, which was classified as critical, has been found in Linksys RE6500, RE6250, RE6300, RE6350, RE7000 and RE9000 1.0.013.001/1.0.04.001/1.0.04.002/1.1.05.003/1.2.07.001. This issue affects the function RPpingGatewayByBBS of the file /goform/RPpingGatewayByBBS. The manipulation of th...

CVE-2025-5440

A vulnerability classified as critical has been found in Linksys RE6500, RE6250, RE6300, RE6350, RE7000 and RE9000 1.0.013.001/1.0.04.001/1.0.04.002/1.1.05.003/1.2.07.001. This affects the function NTP of the file /goform/NTP. The manipulation of the argument...

CVE-2025-5440

CVE-2025-5440 affects Linksys RE6500/RE6250/RE6300/RE6350/RE7000/RE9000 (firmware variants 1.0.013.001–1.2.07.001). The NTP endpoint at /goform/NTP accepts parameters manual_year_select/manual_month_select/manual_day_select/manual_hour_select/manual_min_select/manual_sec_select that enable OS com...

CVE-2025-5438 Linksys RE6500/RE6250/RE6300/RE6350/RE7000/RE9000 WPS command injection

A vulnerability was found in Linksys RE6500, RE6250, RE6300, RE6350, RE7000 and RE9000 1.0.013.001/1.0.04.001/1.0.04.002/1.1.05.003/1.2.07.001. It has been declared as critical. Affected by this vulnerability is the function WPS of the file /goform/WPS. The manipulation of the argument PIN leads ...

CVE-2025-5438

CVE-2025-5438 affects Linksys RE6500/RE6250/RE6300/RE6350/RE7000/RE9000 devices with firmware versions 1.0.013.001, 1.0.04.001/1.0.04.002, 1.1.05.003, and 1.2.07.001. The WPS function at /goform/WPS is vulnerable to command injection through manipulation of the PIN argument, and the attack can be...

Trojan Horse Hunt in Time Series Forecasting for Space Operations

This competition hosted on Kaggle https://www.kaggle.com/competitions/trojan-horse-hunt-in-space is the first part of a series of follow-up competitions and hackathons related to the "Assurance for Space Domain AI Applications" project funded by the European Space Agency...