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• Understanding Microtargeting Pattern on Social Media

  Speaker: Tunazzina Islam Date: Feb 12, 11:45am-12:45pm Abstract: The landscape of social media is highly dynamic, with users generating and consuming a diverse range of content. Various interest groups, including politicians, advertisers, and stakeholders, utilize these platforms to target potential…

• Robust and Interpretable Learning for Modern Healthcare

  Speaker: Peirong Liu Date: Feb 10, 11:45am-12:45pm Abstract: The unprecedented advances of modern machine learning have unlocked the potential for faster and more accurate data-driven analysis.

• Addressing Information Distortion via Knowledge-aware Language Modeling

  Speaker: Yuanyuan Lei Date: Feb 7, 11:45am-12:45pm Abstract: In the research of Natural Language Processing (NLP), language and information are deeply intertwined. However, human language can be subject to various forms of information distortion, ranging from intentional misinformation to unintentional…

• Securing Computer Systems using AI Methods and for AI Applications

  Speaker: Mulong Luo Date: Jan 31, 11:45am-12:45pm Abstract: Securing modern computer systems against an ever-evolving threat landscape is a significant challenge that requires innovative approaches. Recent developments in artificial intelligence (AI), such as large language models (LLMs) and reinforcement learning…

• Secure and Timely Execution in Cyber-physical Systems

  Speaker: Jinwen Wang Date: Jan 15, 11:45am-12:45pm Abstract: Cyber-physical systems (CPSs), such as self-driving cars, are integral to modern life. Execution timing is critical to CPS, as missing a deadline can result in severe outcomes. In this talk, I will…

• Towards Secure and Resilient Real-Time Cyber-Physical Systems

  Speaker: Abdullah Al Arafat Date: Jan 13, 11:45am-12:45pm Abstract: Recent advances in sensing, communication, and computing have revolutionized the accessibility and integration of safety-critical Cyber-Physical Systems (CPS). However, these systems face stringent timing constraints and escalating security challenges.

• Towards Efficient and Practical Privacy-Preserving Computing and AI

  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 use AI models…

• Incredible Yet Limited Large Language Models in the Wild

  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 performance on existing benchmarks, the…

• Responsible Graph Machine Learning Under a Fairness Lens

  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 societal…

• The Age of Creative Machines: Their Rise, Impact, and Vision for the Future

  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…