Security and robustness on Artificial Intelligence is the second concentration of IEEE Bigdatasecurity 2024. The emerging needs for building reliable and robust AI models in Big Data and Cloud environments with security and privacy guaranteed have attracted attention from a number of different perspectives. The new methods deployed in Big Data and Cloud environment have covered distinct dimensions, such as robust deep learning, secure deep learning/machine learning, multi-party computing, edge/fog computing, energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc.

IEEE 12th Conference on Big Data Security on Cloud (BigDataSecurity) is technically sponsored by IEEE. The proceedings  of this event are likely to be indexed in  prominent databases such as Scopus, Web of Science (WoS), Ei Compendex, DBLP, Google Scholar, and many others.