Speaker: Qian Lou Date: Nov 22, 2:05pm – 3:15pm Abstract: With growing reliance on cloud-based Machine Learning as a Service (MLaaS), privacy concerns are escalating, particularly in fields like healthcare and finance. For instance, clinicians and researchers...
Speaker: Yusen Wu Date: Nov 15, 2:05pm – 3:15pm Abstract: Traditional security frameworks, based on implicit trust models, prove inadequate for securing contemporary edge computing architectures. The dynamic nature of edge networks-characterized by heterogeneous...
Speaker: Hanjie Chen Date: Nov 8, 2:05pm – 3:15pm Abstract: Large language models (LLMs) demonstrate remarkable capabilities in handling a wide range of tasks, from generating human-like text to answering complex questions. Despite achieving remarkable...
Speaker: Yushun Dong Date: Nov 1, 2:15 – 3:05 pm Abstract: Graph learning algorithms have been increasingly deployed in a plethora of real-world applications, such as epidemic analysis, healthcare, and financial analysis. Nevertheless, there has been a rise in...
Speaker: Maya Ackerman Date: Oct 25, 2:15 – 3:05 pm Abstract: What happens when machines become creative? How did creative machines evolve from their beginnings in academia to their industry proliferation? While this shift has sparked excitement, it has also...
Speaker: Zhe He Date: Oct 18, 2:15 – 3:05 pm Abstract: Over the past two decades, data science and artificial intelligence (AI) have significantly transformed biomedical research and healthcare. The growing availability of large-scale data, such as electronic...
