This repository aggregates research papers and resources on backdoor learning, an AI security field covering attacks and defenses against compromised machine learning models. It categorizes conference and journal publications (NeurIPS, ICLR, AAAI, etc.) related to neural backdoors and trojans. The repository serves as a bibliography for researchers studying training-time security vulnerabilities in deep learning systems.