Search: “PLA”

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Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation

Study shows LLMs with Mixture-of-Agents and QLoRA finetuning effectively simplify medical texts into plain language while preserving content.

The paper evaluates Plain Language Adaptation (PLA) using GPT-4o-mini, Gemini-1.5-pro, and LLaMA in zero-shot and few-shot settings. It compares prompting strategies, QLoRA finetuning across models, and integrates Mixture-of-Agents (MoA) techniques for robustness. Results demonstrate LLM-driven PLA makes healthcare texts more comprehensible while retaining essential content.

arXiv cs.AI / cs.LG / cs.CLSep 15, 16:33 UTC · 1d agoAI research

In Other News: InjectEave Attack, SIM Swapper Sentenced, Glasswing Findings Review

SecurityWeek weekly roundup covers exploited WordPress Super Forms flaw CVE-2026-14894, a $10M bounty on an Iranian cyber official, InjectEave attacks, and more.

SecurityWeek's weekly roundup aggregates short items across the threat landscape, including Microsoft's report of invisible Unicode tag characters used in financial phishing lures at up to 2.37 million messages per day, and active exploitation of critical WordPress Super Forms plugin flaw CVE-2026-14894 to deploy PHP webshells. Policy items include a $10 million US bounty for IRGC-CEC Cyber Operations Command lead Amir Yaryab, a 16-month prison sentence for ex-AT&T employee Kenneth Carter over SIM swaps with nearly $600,000 in intended losses, and the US arraignment of Russian Sergei Anatolyevich Filimonov over credential harvesting. Technical items include InjectEave electromagnetic side-channel attacks tested on 11 devices, an FBI warning on OAuth consent phishing, and VulnCheck's finding that only 202 of 26,153 Anthropic Project Glasswing findings were fixed.

SecurityWeekSep 11, 14:19 UTC · 5d agoIndustry in the wildCVE-2026-148942

How hackers used Claude for missiles, drone swarms, and surveillance, while Chinese labs mined it for training data

Anthropic's threat report details eight months of Claude misuse: AI-assisted espionage against 20+ organizations, self-rewriting malware, and Chinese labs distilling Claude via fraudulent accounts.

Anthropic's threat intelligence report covering December 2025 through August 2026 documents Claude misuse across seven categories including cyber operations, surveillance, fraud, and unauthorized model distillation. A Russian-speaking espionage actor tracked as GTG-20006 used AI agents to rewrite and recompile malware evading antivirus detection, targeting more than 20 organizations in Ukraine and Europe and stealing a drone vision system SDK. Alibaba's Qwen lab ran the largest distillation campaign, with over 151 million exchanges between May and July 2026 peaking near 3 million per day to train Qwen 3.5, 3.6, and 3.7. DeepSeek, Moonshot AI, Xiaomi, and Zhipu also relayed customer or replayed traffic to Claude, including PLA-linked users analyzing CCTV footage and users with credentials tied to the Russian Ministry of Defense.

The Decoderupdated Sep 16, 17:41 UTC · 12h agofirst Sep 11, 13:50 UTC · 5d agoAI safety & security in the wild 19 sources2