Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI - Paperback

Lin, Baihan: - Dr. Baihan Lin is a leading computer scientist, neuroscientist, inventor, and professor specializing in speech and natural language processing (NLP). He holds faculty positions at Harvard University and the Icahn School of Medicine at Mount Sinai. Known for his expertise in trustworthy Neuro-AI and computational psychiatry, Dr. Lin has made significant contributions to these fields through his work at Columbia University, where he earned his PhD, and through his research at leading tech companies such as IBM, Google, Microsoft, Amazon, and BGI Genomics.

His research program focuses on developing intelligent speech and text-based systems to enhance human-AI and human-human interactions in healthcare. Notably, he developed the first-ever online and reinforcement learning (RL)-based speaker diarization system and RL-based interactive spoken language understanding (SLU) systems for children with speech and communication disorders.

Dr. Lin's work in deep learning, RL, and NLP has led to real-world applications, including AI companions for therapists and context-aware virtual realities. He has authored over 50 peer-reviewed publications and patents and has served on program committees and as a reviewer for over 15 top AI conferences and more than 20 journals. He has chaired tutorials and workshops at AAAI, INTERSPEECH, ICASSP, WACV, and IJCAI, focusing on RL, human-in-the-loop language technology, and most recently, the alignment, privacy, security, and governance of generative AI.

As a finalist for the Bell Labs Prize and XPRIZE, Dr. Lin's contributions in real-time algorithms advance the understanding of the human brain and mind, support disadvantaged individuals with mental health conditions, and drive the evolution of affective and empathetic AI in the era of large language models.