This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Abstract: Source-Free Domain Adaptive Object Detection (SFDA-OD) aims to apply a pre-trained detector from the source domain to unlabeled data in the target domain. Existing methods typically utilize ...
Abstract: Source-free object detection (SFOD) transfers a source-trained model to a target domain using only unlabeled data. Most SFOD methods adopt a mean-teacher framework, filtering pseudo labels ...
This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...
New SDK lets Python teams embed bot protection, rate limiting, and abuse prevention directly into application codeSAN FRANCISCO, ...
An AI-powered GitHub Action that automatically detects spam in issues and comments using LLMs. Detected issues are tagged as spam and detected comments are (optionally) minimized. Each new issue and ...
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