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Wi-Fi Sensing Under Attack: How Secure Are Your Smart Systems?

27.11.2025 by qfx

The decision boundaries of a LeNet network, visualized through a UMAP embedding of the NTU-HAR dataset, demonstrate vulnerability to an untargeted $PGD_{\ell_{2}}$ attack at a signal-to-noise ratio of 20dB, as evidenced by the misalignment between true class labels and network predictions.

A new analysis reveals the vulnerabilities of deep learning models used in Wi-Fi sensing and highlights critical defenses against increasingly sophisticated adversarial threats.

Categories Science

One Image is All It Takes: Hijacking AI’s Visual Reasoning

27.11.2025 by qfx

A malicious actor exploits a multi-modal large language model (MLLM) controlling a vehicle by introducing a visual perturbation, which causes the system to interpret image semantics in a manner that directs the vehicle towards a predetermined destination, effectively hijacking the decision-making process.

Researchers demonstrate how a single, subtle manipulation of an image can redirect the decision-making process of powerful artificial intelligence systems.

Categories Science

Chasing the Sun’s Fury: Progress and Pitfalls in Flare Forecasting

26.11.2025 by qfx

The study demonstrates that energy released during solar flares partitions into varying forms, with larger events exhibiting a distinct distribution compared to smaller flares, suggesting a fundamental scaling relationship in the dynamics of these energetic phenomena-a reminder that even the most comprehensive theory may ultimately be consumed by the scale of reality.

A new review examines how our ability to predict solar flares-powerful eruptions that can disrupt space weather and impact Earth-is evolving from physics-based simulations to cutting-edge data-driven methods.

Categories Science

Powering Up Stability Analysis with Artificial Intelligence

26.11.2025 by qfx

A new approach uses AI to automate the complex process of predicting power grid stability, accelerating analysis and optimizing system design.

Categories Science

When AI Stumbles: Mapping the Hidden Risks of Language Models

26.11.2025 by qfx

As large language models become increasingly integrated into critical applications, understanding how – and why – they fail is paramount.

Categories Science

Predictive Safety: A Smarter Approach to Collision Warnings

26.11.2025 by qfx

The collision warning system’s overall performance suggests a complex interplay between responsiveness and stability, where aggressive sensitivity-while reducing time to impact- simultaneously amplifies the risk of spurious alerts and ultimately undermines trust in the system's reliability.

A new framework leverages advanced attention networks and dynamic risk assessment to dramatically improve forward collision warning systems in challenging traffic conditions.

Categories Science

Beyond the Hype: Assessing AI Safety in 2025

26.11.2025 by qfx

A new report details the evolving landscape of technical and institutional safeguards designed to manage the risks of increasingly powerful artificial intelligence.

Categories Science

Seeing Smoke: AI Models for Faster Wildfire Response

26.11.2025 by qfx

Forest fire detection systems struggle to reliably distinguish between genuine smoke plumes and atmospheric phenomena like sunset-colored skies, distant clouds, fog, or even faint nighttime smoke-challenges exacerbated by the difficulty of identifying smoke without thermal imaging at a distance.

New research demonstrates how advanced image recognition systems are improving the speed and accuracy of early wildfire detection.

Categories Science

Smoothing the Future: A New Approach to Time-Series Forecasting

26.11.2025 by qfx

Researchers are boosting prediction accuracy by introducing a method that separates coarse-grained trends from fine-grained details in time-series data.

Categories Science

AI’s Safety Net: Using Artificial Intelligence to Validate Artificial Intelligence

26.11.2025 by qfx

A system translates abstract natural language requirements into concrete monitoring practices, effectively closing the loop between intention and observation.

As AI systems become increasingly complex and permeate safety-critical applications, researchers are exploring innovative ways to ensure their reliability and prevent potentially catastrophic failures.

Categories Science
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