The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
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, ...
Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block ...
In a new proof-of-concept, endpoint security provider Morphisec showed that the Exploit Prediction Scoring System (EPSS), one of the most widely used frameworks for assessing vulnerability exploits, ...
OpenAI is strengthening ChatGPT Atlas security using automated red teaming and reinforcement learning to detect and mitigate ...
Your security tools say everything’s fine, but attackers still get through. Despite years of investment in firewalls, endpoint protection, SIEMs, and other layered defenses, most organizations still ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results