IEEE

Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection

Abstract: Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is ...
IEEE

A Unified Multi-Label Code Smell Dataset for Code Smell Detection at Different Granularities

Abstract: Code smell detection is critical for maintaining software quality and enabling effective refactoring, yet much prior work identifies only one smell at a time. This single-label framing ...
GitHub

Point Cloud Processing, Dataset Download, Deep Learning Models

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

SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry

Workplace safety in manufacturing has taken a step forward thanks to a new open-source dataset designed to improve detection of personal protective equipment (PPE). The SH17 dataset, created by two ...
GitHub

A Multi-Domain Object Detection Benchmark

Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...
Futurism

Malware Is Now Using AI to Rewrite Its Own Code to Avoid Detection

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
PC Gamer

Great, now even malware is using LLMs to rewrite its code, says Google, as it documents new phase of 'AI abuse'

AI Microsoft CEO warns that we must 'do something useful' with AI or they'll lose 'social permission' to burn electricity on it AI Steam updates AI disclosure form to specify that it's focused on ...
Dark Reading

Do Claude Code Security Reviews Pass the Vibe Check?

If there's anything that gives a seasoned application security (AppSec) professional indigestion these days, it's the thought of AI-assisted coding layered on top of an already insecure development ...
Infosecurity-magazine.com

Hackers Weaponize QR Codes in New 'Quishing' Attacks

Security researchers at Barracuda Networks have discovered two novel QR code phishing (quishing) techniques involving splitting malicious QR codes into two parts or embedding them into legitimate ones ...
sei.cmu

Detection of Malicious Code (DMC) Tool

The DMC tool detects two types of malicious code: (1) exfiltration of sensitive data and (2) timebombs, logic bombs, remote-access Trojans (RATs), and similar malicious code. The goal for the DMC tool ...
sei.cmu

Detection of Malicious Code Assets

Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...