Artificial intelligence-based image recognition technology used by radiologists to help improve the speed and accuracy of medical diagnoses - such as detecting breast cancer in mammography images - is ...
The field of adversarial attacks in natural language processing (NLP) concerns the deliberate introduction of subtle perturbations into textual inputs with the aim of misleading deep learning models, ...
Imagine the following scenarios: An explosive device, an enemy fighter jet and a group of rebels are misidentified as a cardboard box, an eagle or a sheep herd. A lethal autonomous weapons system ...
From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...
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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 ...
AUSTIN, Texas--(BUSINESS WIRE)--CrowdStrike (Nasdaq: CRWD), a leader in cloud-delivered protection of endpoints, cloud workloads, identity and data, today announced it has expanded the CrowdStrike ...
Red teaming is a powerful way to uncover critical security gaps by simulating real-world adversary behaviors. However, in practice, traditional red team engagements are hard to scale. Usually relying ...
Cyber-incident attribution gets a lot of attention, for good reasons. Identifying the actor(s) behind an attack enables taking legal or political action against the adversary and helps cybersecurity ...
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