Blockchain and Federated Learning Join Forces to Shield Connected Cars From Cyberattacks
A new blockchain-enabled federated learning framework called IoV BCFL+ detects intrusions across connected vehicle networks with over 96 percent accuracy ...
Tag: adversarial robustness
Causal AI Learns to See Through Camouflaged Fraud in Transaction Networks
A new causal graph neural network filters out camouflaged neighbour signals in transaction graphs, outperforming seven baselines on Bitcoin, YelpChi, ...
Attention-Boosted Neural Networks Face Off in the Hunt for Deepfakes
A controlled comparison shows attention-enhanced DenseNet121 reaching 97.4 percent accuracy for deepfake detection while a lighter MobileNetV2 variant offers a ...
AI System Reads the Dark Web Across Text and Images to Spot Cyber Threats
Researchers in India have built a multimodal deep learning framework that fuses text, images and browsing behavior to classify dark ...
Large Language Model Outperforms Classic Defenses in Smart Grid Cyberattack Detection
Researchers at Guizhou Power Grid show that a compact large language model grounded in a digital power grid knowledge base ...
Machine Learning’s Blind Spot: The Hidden Adversarial Threats to Unsupervised AI
A systematic review of 93 studies reveals eight attack types and nine defence types across six categories of unsupervised machine ...
Hybrid AI Framework Brings Privacy-Preserving Intrusion Detection to Connected Cars
Researchers have developed a federated, lightweight deep learning system that detects attacks on car CAN bus networks with high accuracy ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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