Microsoft

A one-prompt attack that breaks LLM safety alignment

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
IEEE

Advancing Adversarial Detection of Anomalous Wi-Fi Activity Through Residual Generative Adversarial Networks: A Novel Approach for Robust Wireless Network Security

Abstract: This study aims to address the growing need for robust wireless network security by detecting anomalous Wi-Fi activity through a Residual Generative Adversarial Network (Res-GAN).
InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
IEEE

Efficient Pattern Synthesis Method for Series-Fed Arrays Using Generative Adversarial Networks

Abstract: In this paper, a physics-informed generative adversarial network (GAN) framework is proposed for computationally efficient radiation pattern synthesis of series-fed linear arrays. In the ...