Pin-Yu Chen

Based in WHITE PLAINS, NY, United States

Bio:

Dr. Pin-Yu Chen is a principal research scientist at IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA. He is also the chief scientist of RPI-IBM AI Research Collaboration and PI of ongoing MIT-IBM Watson AI Lab projects. Dr. Chen received his Ph.D. in electrical engineering and computer science and M.A. in Statistics from the University of Michigan, Ann Arbor, USA, in 2016. He received his M.S. degree in communication engineering from National Taiwan University, Taiwan, in 2011 and B.S. degree in electrical engineering and computer science (undergraduate honors program) from National Chiao Tung University, Taiwan, in 2009.

Dr. Chen’s recent research focuses on adversarial machine learning of neural networks for robustness and safety. His long-term research vision is to build trustworthy machine learning systems. He received the IJCAI Computers and Thought Award in 2023. He has published more than 50 papers related to trustworthy machine learning at major AI and machine learning conferences, given tutorials at NeurIPS’22, AAAI(’22,’23,’24), IJCAI’21,CVPR(’20,’21,’23), ECCV’20, ICASSP(’20,’22,’23,’24), KDD’19, and Big Data’18, and organized several workshops for adversarial machine learning. He is a co-author of the book “Adversarial Robustness for Machine Learning”. His research interest also includes graph and network data analytics and their applications to data mining, machine learning, signal processing, and cyber security. He was a recipient of the Chia-Lun Lo Fellowship from the University of Michigan Ann Arbor. He also received the IEEE GLOBECOM 2010 GOLD Best Paper Award and UAI 2022 Best Paper Runner-Up Award. Dr. Chen is currently on the editorial board of Transactions on Machine Learning Research. He also serves as an area chair at top AI/ML conferences, including NeurIPS, ICML, AAAI, IJCAI, etc. He is a senior member of IEEE and ACM. He is also a current member of the IEEE SPS MLSP Technical Committee.

At IBM Research, Dr. Chen’s research contributes to IBM open-source libraries including Adversarial Robustness Toolbox (ART 360) and AI Explainability 360 (AIX 360). Dr. Chen has co-invented more than 40 U.S. patents and received the honor of IBM Master Inventor. In 2022, he received the IBM Pat Goldberg Memorial Best Paper Award. In 2021, he received an IBM Corporate Technical Award. In 2020, he received an IBM Research special division award for research related to COVID-19. He also received several IBM Outstanding Research Accomplishment Awards.

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Exploring Safety Risks in Large Language Models and Generative AI
Large language models (LLMs) and Generative AI (GenAI) are at the forefront of current AI research and technology. With their rapidly increasing popularity and availability, challenges and...

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