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, ...
A new technical paper titled “A Survey on Acoustic Side-Channel Attacks: An Artificial Intelligence Perspective” was ...
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block harmful requests, attackers continue to try new ways to circumvent them. One of ...
Large language models (LLMs) have become central tools in writing, coding, and problem-solving, yet their rapidly expanding use raises new ethical ...
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