Executive Gov

FCC Adopts Foreign Adversary Control Transparency Rules

The Federal Communications Commission has adopted new rules requiring greater transparency from licensees and applicants whose operations may be influenced by foreign adversaries to strengthen ...
IEEE

Detecting and Mitigating Adversarial Machine Learning Attacks in Autonomous Vehicles Within the Internet of Vehicles

Abstract: Adversarial Machine Learning (AML), particularly model poisoning, presents a critical threat to Autonomous Vehicles (AVs) in the Internet of Vehicles (IoV) environment. To address this ...
GitHub

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training

[2025/12/8] This repo will be merged into a new repo soon. In the new repo, you can call our GREATER detector easily, with many existing MGT detectors. [2025/5/15] 🎉Our paper was accepted by ACL 2025 ...
IEEE

Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective

Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...