Congzheng Song

Email: cs2296@cornell.edu
 
Address: 301 Gates Hall, Ithaca, NY
 
Curriculum Vitae: pdf
 
Links:

About Me

Hello! I am a -year Computer Science Ph.D. student at Cornell University. My current research interests are security & privacy issues in machine learning. Before comming to Cornell, I spent wonderful 4 years at Emory University, where I worked closely with Prof. Ymir Vigfusson on detecting disease outbreak from mobile phone records. I also had a fortune to work with Prof. Lee Cooper on combining neural network with Cox regression for survival analysis.

Publications

  1. R.Shokri, M.Stronati, C.Song, V.Shmatikov
    Membership Inference Attacks against Machine Learning Models
    In 38th IEEE Symposium on Security and Privacy (S&P), San Jose, California, 2017

  2. S.Yousefi, C.Song, N.Nauata, L.Cooper
    Learning Genomic Representations to Predict Clinical Outcomes in Cancer
    In International Conference on Learning Representation Workshop (ICLR), San Juan, Puerto Rico, 2016

  3. E.Reinertsen, N.Palmius, C.Song, L.Danon, G.Saemundsdottir, O.Magnusson, G.D.Clifford, Y.Vigfusson
    Mobile Phone Activity and Population Movement During an Influenza A (H1N1) Outbreak in Iceland
    In Sleep Medicine and Chronobiology Summer Schools Poster Session, Oxford, UK, 2015

Skills

Programming & Scripting Languages: Python, Java, C, HTML & CSS, JavaScript, Latex
Software & Tools: Tensorflow, Theano, Matlab, R studio, Node.js, MongoDB, PostgreSQL