USN-7654-2 linux-intel-iot-realtime, linux-realtime vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - PA-RISC architecture; - PowerPC architecture; - x86 architecture; - Block layer subsystem; - Cryptographic API; -...

USN-7654-2: Linux kernel (Real-time) vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - PA-RISC architecture; - PowerPC architecture; - x86 architecture; - Block layer subsystem; - Cryptographic API; -...

USN-7654-1 linux, linux-aws, linux-aws-5.15, linux-gcp, linux-gcp-5.15, linux-gke, linux-gkeop, linux-hwe-5.15, linux-ibm, linux-ibm-5.15, linux-intel-iotg, linux-lowlatency, linux-lowlatency-hwe-5.15, linux-nvidia, linux-nvidia-tegra, linux-nvidia-tegra-5.15, linux-nvidia-tegra-igx, linux-oracle, linux-oracle-5.15 vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - PA-RISC architecture; - PowerPC architecture; - x86 architecture; - Block layer subsystem; - Cryptographic API; -...

ARMOR: Aligning Secure and Safe Large Language Models Via Meticulous Reasoning

Large Language Models LLMs have demonstrated remarkable generative capabilities. However, their susceptibility to misuse has raised significant safety concerns. While post-training safety alignment methods have been widely adopted, LLMs remain vulnerable to malicious instructions that can bypass...

USN-7594-3 linux-aws, linux-oracle vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - ARM32 architecture; - ARM64 architecture; - PowerPC architecture; - RISC-V architecture; - User-Mode Linux UML; - x...

README: Robust Error-Aware Digital Signature Framework Via Deep Watermarking Model

Deep learning-based watermarking has emerged as a promising solution for robust image authentication and protection. However, existing models are limited by low embedding capacity and vulnerability to bit-level errors, making them unsuitable for cryptographic applications such as digital...

Attention Slipping: a Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs

As large language models LLMs become more integral to society and technology, ensuring their safety becomes essential. Jailbreak attacks exploit vulnerabilities to bypass safety guardrails, posing a significant threat. However, the mechanisms enabling these attacks are not well understood. In thi...

ReDASH: Fast and efficient Scaling in Arithmetic Garbled Circuits for Secure Outsourced Inference

Whitepaper called ReDASH: Fast and efficient Scaling in Arithmetic Garbled Circuits for Secure Outsourced Inference...

DEBIAN-CVE-2025-38041

In the Linux kernel, the following vulnerability has been resolved: clk: sunxi-ng: h616: Reparent GPU clock during frequency changes The H616 manual does not state that the GPU PLL supports dynamic frequency configuration, so we must take extra care when changing the frequency. Currently any...

UBUNTU-CVE-2025-38038

In the Linux kernel, the following vulnerability has been resolved: cpufreq: amd-pstate: Remove unnecessary driverlock in setboost setboost is a per-policy function call, hence a driver wide lock is unnecessary. Also this mutexacquire can collide with the mutexacquire from the mode-switch path in...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: cpufreq: scmi: Fixed a nullptrderef in scmicpufreqgetrate. The cpufreqcpugetraw function may return NULL when the target CPU is not present in the policy-cpus mask. The scmicpufreqgetrate function does not check for this case,...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: Fixed the null check for pipectx-planestate in resourcebuildscalingparams A null pointer dereference issue could occur when pipectx-planestate is null. The fix adds a check to ensure that ‘pipectx-planestate’ is...

编号撤回

update is a library from Aaron's personal developer. serve is a PyTorch open source application for provisioning, optimizing, and scaling PyTorch models in production. This CVE number has been withdrawn...

Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance

Existing safety assurance research has primarily focused on training-phase alignment to instill safe behaviors into LLMs. However, recent studies have exposed these methods' susceptibility to diverse jailbreak attacks. Concurrently, inference scaling has significantly advanced LLM reasoning...

A Certified Unlearning Approach without Access to Source Data

With the growing adoption of data privacy regulations, the ability to erase private or copyrighted information from trained models has become a crucial requirement. Traditional unlearning methods often assume access to the complete training dataset, which is unrealistic in scenarios where the...

USN-7524-1 linux-raspi vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - ARM64 architecture; - MIPS architecture; - PowerPC architecture; - RISC-V architecture; - S390 architecture; - Supe...

USN-7524-1: Linux kernel (Raspberry Pi) vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - ARM64 architecture; - MIPS architecture; - PowerPC architecture; - RISC-V architecture; - S390 architecture; - Supe...

Capability-Based Scaling Laws for LLM Red-Teaming

As large language models grow in capability and agency, identifying vulnerabilities through red-teaming becomes vital for safe deployment. However, traditional prompt-engineering approaches may prove ineffective once red-teaming turns into a weak-to-strong problem, where target models surpass...

Ubuntu 24.04 LTS : Linux kernel (Raspberry Pi) vulnerabilities (USN-7524-1)

"The remote Ubuntu 24.04 LTS host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-7524-1 advisory. Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws i...

Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models

State-of-the-art membership inference attacks MIAs typically require training many reference models, making it difficult to scale these attacks to large pre-trained language models LLMs. As a result, prior research has either relied on weaker attacks that avoid training reference models e.g.,...