Explore the intersection of big data security and artificial intelligence in this 39-minute conference talk by Dr. Murat Kantarcioglu from the University of Texas at Dallas. Delve into the changing landscape of the big data revolution and its associated challenges. Examine hardware-supported approaches for efficient oblivious data processing and their applications in basic data science. Compare experimental evaluations with ObliVM and investigate the trade-offs between privacy and robustness in federated learning. Analyze backdoor attacks in the context of federated learning, including experiments and comparisons with other defenses. Conclude with insights on federated learning poisoning attacks and explore techniques for attacking models to enhance privacy and fairness, such as preventing gender prediction in image classifiers.