Measuring Data Leakage in Machine-Learning Models with Fisher Information
Awni Hannun, Chuan Guo, Laurens van der Maaten
People
Laurens van der Maaten
Research Scientist
I am a research scientist at Facebook AI Research since March 2015, with a focus on machine learning and computer vision. Prior, I worked as an assistant professor at Delft University of Technology and as a post-doctoral researcher at University of California, San Diego. I received my PhD from Tilburg University in 2009.
Interests
Machine learning and computer vision
Latest Publications
UAI - 2021
CRYPTEN: Secure Multi-Party Computation Meets Machine Learning
Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
Making Paper Reviewing Robust to Bid Manipulation Attacks
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
Certified Data Removal from Machine Learning Models
Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten
Secure multiparty computations in floating-point arithmetic
Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu
