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Cybersécurité

CISA orders feds to patch Citrix NetScaler RCE flaw by Saturday

CISA has ordered U.S. government agencies to patch their Citrix NetScaler appliances against an actively exploited remote code execution vulnerability by Saturday. [...]

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Cybersécurité

ATF confirms “major incident” after recent Qilin breach claims

ATF, the regulatory agency that enforces federal laws governing firearms and explosives in the United States, has confirmed that one of its systems was compromised after breach claims made by the Qilin ransomware gang. [...]

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Cybersécurité

New GPUThor Rowhammer Defeats ECC on NVIDIA RTX A6000 to Gain Host Root Access

Academic researchers have disclosed a Rowhammer attack impacting NVIDIA workstation GPUs with GDDR6 memory that defeats error correction codes (ECC), the mitigation NVIDIA recommends against GPU Rowhammer, and enables denial-of-service (DoS) and privilege escalation to a root shell. Dubbed GPUThor, the attack was developed by researchers at the University of Toronto, who…

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Cybersécurité

CISA Adds Six Exploited Flaws to KEV, Including NetScaler, Linux, and SQL Server Bugs

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Wednesday added six flaws to its Known Exploited Vulnerabilities (KEV) catalog, including a high-severity security vulnerability impacting Citrix NetScaler ADC and NetScaler Gateway, citing evidence of active exploitation. The vulnerabilities are listed below - CVE-2019-1068 - A remote code execution…

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Intelligence Artificielle

Behind the [MASK]: Disentangling Representation and Faithfulness in DAPF-Based Dementia Detection

arXiv:2608.25028v1 Announce Type: new Abstract: Spoken-language analysis via prompt-based domain-adaptive models is a promising direction for low-resource, non-invasive dementia screening, but such models remain internally opaque. We study the interpretability of the Domain-Adapted models via Prompt-based Fine-tuning (DAPF) framework, which casts dementia detection as…

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Intelligence Artificielle

A Primer on Computational Semantics for Artificial Intelligence Systems

arXiv:2608.25022v1 Announce Type: new Abstract: As people adopt transformer-based language models (e.g., ChatGPT and Gemini) for an increasing number of use-cases, it is important to know how such models learn and represent the meaning of the language, and to be more informed about what language is. This document is an attempt to help the reader understand how linguistic…

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