The widespread integration of wearable sensing devices in Internet of Things (IoT) ecosystems, particularly in healthcare, smart homes, and industrial applications, has required robust human activity recognition (HAR) techniques to improve functionality and user experience. Although machine learning models have advanced HAR, they are increasingly susceptible to data poisoning attacks that compromise the data integrity and reliability of these systems. Conventional approaches to defending against such attacks often require extensive task-specific training with large, labeled datasets, which limits adaptability in dynamic IoT environments. This work proposes a novel framework that uses large language models (LLMs) to perform poisoning detection and sanitization in HAR systems, utilizing zero-shot, one-shot, and few-shot learning paradigms. Our approach incorporates \textit{role play} prompting, whereby the LLM assumes the role of expert to contextualize and evaluate sensor anomalies, and \textit{think step-by-step} reasoning, guiding the LLM to infer poisoning indicators in the raw sensor data and plausible clean alternatives. These strategies minimize reliance on curation of extensive datasets and enable robust, adaptable defense mechanisms in real-time. We perform an extensive evaluation of the framework, quantifying detection accuracy, sanitization quality, latency, and communication cost, thus demonstrating the practicality and effectiveness of LLMs in improving the security and reliability of wearable IoT systems.

We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identification (Subtask 1) and province-level sub-dialect identification (Subtask 2). The data for the shared task covers a total of 100 provinces from 21 Arab countries and are collected from the Twitter domain. As such, NADI is the first shared task to target naturally-occurring fine-grained dialectal text at the sub-country level. A total of 61 teams from 25 countries registered to participate in the tasks, thus reflecting the interest of the community in this area. We received 47 submissions for Subtask 1 from 18 teams and 9 submissions for Subtask 2 from 9 teams.

DUBAI, UNITED ARAB EMIRATES - One person was killed and seven others were wounded in an attack by Iranian-allied Yemeni rebels on an airport in the kingdom Sunday evening as U.S. Secretary of State was on his way to the country for talks on Iran, Saudi Arabia said. Regional tensions have flared in recent days, The U.S. abruptly called off military strikes against Iran in response to the shooting down of an unmanned American surveillance drone. The Trump administration has vowed to combine a "maximum pressure" campaign of economic sanctions with a buildup of American forces in the region, following the U.S. withdrawal from the 2015 nuclear deal between Iran and world powers. A new set of U.S. sanctions on Iran are expected to be announced Monday. The Sunday attack by the Yemeni rebels, known as Houthis, targeted the Saudi airport in Abha.

TEHRAN - Iran's Revolutionary Guard shot down a U.S. surveillance drone Thursday in the Strait of Hormuz, marking the first time the Islamic Republic directly attacked the American military amid tensions over Tehran's unraveling nuclear deal with world powers. The two countries disputed the circumstances leading up to an Iranian surface-to-air missile bringing down the U.S. Navy RQ-4A Global Hawk, an unmanned aircraft with a wingspan larger than a Boeing 737 jetliner and costing over $100 million. Iran said the drone "violated" its territorial airspace, while the U.S. called the missile fire "an unprovoked attack" in international airspace over the narrow mouth of the Persian Gulf and President Donald Trump tweeted that "Iran made a very big mistake!" Trump later appeared to play down the incident, telling reporters in the Oval Office that he had a feeling that "a general or somebody" being "loose and stupid" made a mistake in shooting down the drone. The incident immediately heightened the crisis already gripping the wider region, which is rooted in Trump withdrawing the U.S. a year ago from Iran's 2015 nuclear deal and imposing crippling new sanctions on Tehran.

DUBAI, UNITED ARAB EMIRATES – High above Yemen's rebel-held city of Hodeida, a drone controlled by Emirati forces hovered as an SUV carrying a top Shiite Houthi rebel official turned onto a small street and stopped, waiting for another vehicle in its convoy to catch up. Seconds later, the SUV exploded in flames, killing Saleh al-Samad, a top political figure. The drone that fired that missile in April was not one of the many American aircraft that have been buzzing across the skies of Yemen, Iraq and Afghanistan since Sept. 11, 2001. Across the Middle East, countries locked out of purchasing U.S.-made drones due to rules over excessive civilian casualties are being wooed by Chinese arms dealers, the world's main distributor of armed drones. "The Chinese product now doesn't lack technology, it only lacks market share," said Song Zhongping, a Chinese military analyst and former lecturer at the People's Liberation Army Rocket Force University of Engineering.

"The air force announced the execution of air strikes with the Qasif 1 aircraft on Aramco in Jizan (province)," the channel said on its official Twitter account, referring to a drone the Houthis had previously unveiled.