Ser-Nam manages Facebook AI's Computer Vision teams in the New York and Cambridge offices. He is currently an effort to detect media manipulation that has the potential to spread misinformation. Ser-Nam's research interests lie in the understanding of generative models, particularly in large-scale generation, anomaly detection, representation learning, media manipulation, and multimodal analysis. He earned his Ph.D. in computer vision at the University of Maryland, College Park. Prior to Facebook, he worked at GE Research.
December 23, 2020
Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being shared…
Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry S. Davis,
December 23, 2020
December 23, 2020
Neural networks are vulnerable to adversarial examples, malicious inputs crafted to fool trained models. Adversarial examples often exhibit black-box transfer, meaning that adversarial examples for one model can fool another model. However,…
Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim,
December 23, 2020