Teaching AI Defenses to Survive Attacks With Just Three Examples
Researchers have combined prototypical few-shot learning with adversarial training to build an IoT intrusion detection system that learns attacks from ...
Researchers have combined prototypical few-shot learning with adversarial training to build an IoT intrusion detection system that learns attacks from ...
A new open-source middleware called BGVD-State makes AI-assisted software security reviews replayable and evidence-gated, ensuring that findings survive handoffs between ...
Researchers at the University of Naples Federico II have built a hybrid AI system that combines ontology-driven knowledge graphs with ...
Researchers have built a transformer-based intrusion detection framework that models relationships among network traffic features and outperforms nine baseline AI ...
A JMIR analysis examines the UK National Commission's 44 recommendations for regulating healthcare AI, spanning life cycle oversight, shared safety ...
As Norway prepares one of its largest-ever security operations for King Harald's funeral, NTNU cybersecurity professor Basel Katt warns that ...
Researchers have unveiled a security framework that protects privacy-preserving, secret-shared databases against malicious data owners by combining verifiable secret sharing, ...
Researchers have developed LLMDPA, an AI-powered framework that audits DP-SGD implementations in source code before training begins, catching broken privacy ...
A newly published edited volume from Bentham Books examines how artificial intelligence, blockchain, cloud computing, the Internet of Things and ...
A new study of 40 fintech cases introduces the SETEH framework, showing that AI adoption in global finance fails when ...
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© 2025 Scienmag - Science Magazine