Adversarial AI exploits model vulnerabilities by subtly altering inputs (like images or code) to trick AI systems into misclassifying or misbehaving. These attacks often evade detection because they ...
Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...
AI-powered voice and audio tools are becoming increasingly embedded in daily life, from digital assistants to smart speakers and customer service bots. Advances in large audio-language models (LALMs), ...
The Splunk Threat Research Team is releasing v4.0 of Splunk Attack Range, an open source project that allows security teams to spin up a detection development environment to emulate adversary behavior ...
Lily is a Senior Editor at BizTech Magazine. She follows tech trends, thought leadership and data analytics. Todd Felker, executive healthcare strategist at CrowdStrike, said the rise of social ...
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