Researchers from OpenAI, Anthropic, and Google DeepMind found that adaptive attacks bypassed 12 AI defenses that claimed near ...
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...
What a bear attack in a remote valley in Nepal tells us about the problem of aging rural communities
Researchers Dolma Choekyi Lama, Tsering Tinley and I spoke with Dorje – a 71-year-old resident of Nubri, a Buddhist enclave in the Nepalese highlands – as part of a three-year study of aging and ...
Distributed Denial of Service (DDoS) attacks are one of the most disruptive threats to network security, often overwhelming critical infrastructure and degrading service availability. traditional ...
The Ivanti Endpoint Manager Mobile (EPMM) zero-day attacks, which began last spring and lasted well into the summer as attackers took advantage of patching lag, were one of the top cyber-stories of ...
ABSTRACT: This is the first paper to be written on the theory of structural learning. The first section outlines the overall concept; the second section proposes the logical universe as the ...
Abstract: Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits deep learning models ...
Incode Technologies has launched a new biometrics product to detect and block deepfakes and injection attacks, as agentic AI floods the tech landscape with new threat vectors. A release says Deepsight ...
The proliferation of voice deepfakes and adversarial attacks presents an increasing challenge to the security and reliability of voice-based authentication and communication systems. While deepfake ...
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