The only way to fight deepfakes is by making deepfakes

Reality Defender is effectively training AI to combat AI. The company uses an “inference-based model” to detect deepfakes, ...
IEEE

Efficient Intrusion Detection for Intra-Vehicle CAN Network with Light-weight Deep Learning based Model

Abstract: Modern vehicles have communication protocols that are vulnerable to cyberattacks. A lack of authentication and encryption makes Controller Area Network (CAN) bus messages susceptible to ...
Microsoft

AI that drives change: Wayve rewrites self-driving playbook with deep learning in Azure

LONDON – On a more than typically busy Thursday morning in Soho, the gray December sky spat rain. Traffic was stop-and-go, but mainly stop. Even the sidewalks were congested. Finally, alongside the ...
RealClearPolitics

Noem on Minneapolis Shooting: "People Need To Stop Using Their Vehicles As Weapons"

DHS Secretary Kristi Noem held a press conference on Wednesday evening following the ICE-related fatal shooting in Minneapolis this morning. KRISTI NOEM, SECRETARY OF THE DEPARTMENT OF HOMELAND ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
IEEE

CAN Bus Intrusion Detection Based on Deep Learning With Data Augmentation for Connected Autonomous Vehicles

Abstract: As the de-facto standard for in-vehicle networks, the Controller Area Network (CAN) is exposed to different types of cyber-attacks due to the lack of security mechanisms. Intrusion Detection ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
GitHub

vehicle-detection

Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional ...