1401 matches found
LaSM: Layer-Wise Scaling Mechanism for Defending Pop-Up Attack on GUI Agents
Graphical user interface GUI agents built on multimodal large language models MLLMs have recently demonstrated strong decision-making abilities in screen-based interaction tasks. However, they remain highly vulnerable to pop-up-based environmental injection attacks, where malicious visual element...
OESA-2025-1824 kernel security update
The Linux Kernel, the operating system core itself. Security Fixes: In the Linux kernel, the following vulnerability has been resolved: arm64: Don't call NULL in docompatalignmentfixup doalignmentt32tohandler only fixes up alignment faults for specific instructions; it returns NULL otherwise e.g...
OESA-2025-1823 kernel security update
The Linux Kernel, the operating system core itself. Security Fixes: In the Linux kernel, the following vulnerability has been resolved: arm64: Don't call NULL in docompatalignmentfixup doalignmentt32tohandler only fixes up alignment faults for specific instructions; it returns NULL otherwise e.g...
arm64: Don't call NULL in do_compat_alignment_fixup()
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LoongArch: Increase ARCH_DMA_MINALIGN up to 16
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book3s64/radix : Align section vmemmap start address to PAGE_SIZE
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CovertAuth: Joint Covert Communication and Authentication in MmWave Systems
Beam alignment BA is a crucial process in millimeter-wave mmWave communications, enabling precise directional transmission and efficient link establishment. However, due to characteristics like omnidirectional exposure and the broadcast nature of the BA phase, it is particularly vulnerable to...
Agent Safety Alignment Via Reinforcement Learning
The emergence of autonomous Large Language Model LLM agents capable of tool usage has introduced new safety risks that go beyond traditional conversational misuse. These agents, empowered to execute external functions, are vulnerable to both user-initiated threats e.g., adversarial prompts and...
TuneShield: Mitigating Toxicity in Conversational AI While Fine-Tuning on Untrusted Data
Recent advances in foundation models, such as LLMs, have revolutionized conversational AI. Chatbots are increasingly being developed by customizing LLMs on specific conversational datasets. However, mitigating toxicity during this customization, especially when dealing with untrusted training dat...
Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems
Federated recommender systems FedRec have emerged as a promising solution for delivering personalized recommendations while safeguarding user privacy. However, recent studies have demonstrated their vulnerability to poisoning attacks. Existing attacks typically target the entire user group, which...
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 kernel bug triggered when encrypted inode file sizes are not aligned...
SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
Federated Learning FL has emerged as a leading paradigm for privacy-preserving distributed machine learning, yet the distributed nature of FL introduces unique security challenges, notably the threat of backdoor attacks. Existing backdoor strategies predominantly rely on end-to-end label...
Security Assessment of DeepSeek and GPT Series Models against Jailbreak Attacks
The widespread deployment of large language models LLMs has raised critical concerns over their vulnerability to jailbreak attacks, i.e., adversarial prompts that bypass alignment mechanisms and elicit harmful or policy-violating outputs. While proprietary models like GPT-4 have undergone extensi...
O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation
Instance segmentation of ships in synthetic aperture radar SAR imagery is critical for applications such as maritime monitoring, environmental analysis, and national security. SAR ship images present challenges including scale variation, object density, and fuzzy target boundary, which are often...
Doppelgänger Method: Breaking Role Consistency in LLM Agent via Prompt-based Transferable Adversarial Attack
Since the advent of large language models, prompt engineering now enables the rapid, low-effort creation of diverse autonomous agents that are already in widespread use. Yet this convenience raises urgent concerns about the safety, robustness, and behavioral consistency of the underlying prompts,...
SUSE CVE-2022-50182
In the Linux kernel, the following vulnerability has been resolved: media: imx-jpeg: Align upwards buffer size The hardware can support any image size WxH, with arbitrary W image width and H image height dimensions. Align upwards buffer size for both encoder and decoder. and leave the picture...
Probing the Robustness of Large Language Models Safety to Latent Perturbations
Safety alignment is a key requirement for building reliable Artificial General Intelligence. Despite significant advances in safety alignment, we observe that minor latent shifts can still trigger unsafe responses in aligned models. We argue that this stems from the shallow nature of existing...
DEBIAN-CVE-2022-50182
In the Linux kernel, the following vulnerability has been resolved: media: imx-jpeg: Align upwards buffer size The hardware can support any image size WxH, with arbitrary W image width and H image height dimensions. Align upwards buffer size for both encoder and decoder. and leave the picture...
CVE-2022-50182
In the Linux kernel, the following vulnerability has been resolved: media: imx-jpeg: Align upwards buffer size The hardware can support any image size WxH, with arbitrary W image width and H image height dimensions. Align upwards buffer size for both encoder and decoder. and leave the picture...
UBUNTU-CVE-2022-50182
In the Linux kernel, the following vulnerability has been resolved: media: imx-jpeg: Align upwards buffer size The hardware can support any image size WxH, with arbitrary W image width and H image height dimensions. Align upwards buffer size for both encoder and decoder. and leave the picture...