Natural Trigger

"Natural triggers" encompass various phenomena where specific events or stimuli initiate a response or action, studied across diverse fields. Current research focuses on identifying and utilizing these triggers in areas like robotic control (using distributed feedback optimization and event-triggered reinforcement learning), cybersecurity (detecting malicious code injection and backdoor attacks in machine learning models), and natural language processing (analyzing presupposition projectivity and code-switching). Understanding and manipulating natural triggers has significant implications for improving the robustness and security of AI systems, enhancing human-computer interaction, and mitigating the spread of misinformation.