Li Chen

Li Chen is a data scientist and research scientist in the Security and Privacy Lab at Intel Labs, where she focuses on developing state-of-the-art robust machine learning algorithms for security with applications in threat detection and computer vision in adversarial settings. She is the principal investigator and research lead at the Intel Science & Technology Center on Adversary-Resilient Security Analytics. Li Chen received her PhD from Johns Hopkins University. Her research interests include machine learning, representation learning and differential privacy. Her research has been featured in pioneering journals and conferences including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Security and Privacy, ACM CCS, ACSAC, Annals of Applied Statistics, Parallel Computing, AAAI Conference on Artificial Intelligence and SPIE. She has given more than 50 technical presentations, including at the Joint Statistical Meeting, AAAI, International Joint Conference on Artificial Intelligence and Spring Research Conference on Statistics and Industry Technology.