This topic focus on introducing machine learning and NLP technologies to solve cyber security issues, especially for network attack dectection, behavior anomaly detection, backdoor analysise, honeypot construction and idenfiticaiton methodology and etc.
This topic focus on automatically finding web vulnerability or malicious codes in public code repositories or package repository of softwares, especially for Python/PHP/Ruby/Java.
This topic usually collects public social data from the Internet, then proposes different models based on machine learning and knowdge graph algorithms to solve these things: social user spam detction, fake news and fraud behavior detection, cybercrime activity or key authors portrait, automatically extract threat intelligence (IP, domain, technique) and etc.
The topic usually introduces machine learning techniques, and data streaming algorithms to improve the current important problems in medicine. Digging the inner relations between different report factors in medicine and prediction the possiblility of cure.