Contact
Email: cs2296[at]cornell.edu
Links:
[
Google scholar ]
[
Github ]
[
Linkedin ]
About Me
Hello! I am a Computer Science Ph.D. candidate at Cornell University
(physically located at Cornell Tech)
working with Prof. Vitaly Shmatikov.
My current research interests are security & privacy issues in machine learning.
I completed my bachelor's degree at Emory University,
where I worked closely with Prof. Ymir Vigfusson and Prof. Lee Cooper on some fun
real world deep learning application projects.
Experience
Research intern at Google Brain, August 2019 - December 2019
Research intern at Petuum Inc, May 2019 - August 2019
Preprint
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Generalized Zero-shot ICD Coding
[pdf]
C.Song, S.Zhang, N.Sadoughi, P.Xie, E.P.Xing
In arXiv preprint, 2019
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Overlearning Reveals Sensitive Attributes
[pdf]
C.Song, V.Shmatikov
In arXiv preprint, 2019
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Membership Encoding for Deep Learning
[pdf]
C.Song, R.Shokri
In arXiv preprint, 2019
Publications
(* indicates equal contribution)
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Auditing Data Provenance in Text-Generation Models
[pdf][code][slides]
C.Song, V.Shmatikov
To appear in 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
Oral Presentation
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Exploiting Unintended Feature Leakage in Collaborative Learning
[pdf][code][talk][slides]
L.Melis*, C.Song*, E. De Cristofaro, V.Shmatikov
In 40th IEEE Symposium on Security and Privacy (Oakland), 2019
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What Are Machine Learning Models Hiding?
[pdf]
V.Shamtikov, C.Song
In 11th Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs), 2018
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Kernel Distillation for Fast Gaussian Processes Prediction
[pdf][code]
C.Song*, Y.Sun*
In NeurIPS Workshop on All of Bayesian Nonparametrics (BNP@NeurIPS), 2018
Spotlight Presentation
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Predicting Clinical Outcomes from Large Scale Cancer Genomic Profiles with Deep Survival Models
[pdf][code]
S.Yousefi, F.Amrollahi, M.Amgad, C.Dong, J.E.Lewis, C.Song, D.A.Gutman, S.H.Halani, J.E.V.Vega, D.J.Brat, L.A.D.Cooper
In Scientific Reports 7 (Nature), 2017
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Machine Learning Models that Remembers Too Much
[pdf][code][talk][slides]
C.Song, T.Risternpart, V.Shmatikov
In 24th ACM Conference on Computer and Communications Security (CCS), 2017
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Membership Inference Attacks Against Machine Learning Models
[pdf][code][talk]
R.Shokri, M.Stronati, C.Song, V.Shmatikov
In 38th IEEE Symposium on Security and Privacy (Oakland), 2017
The Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018
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Learning Genomic Representations to Predict Clinical Outcomes in Cancer
[pdf][code]
S.Yousefi, C.Song, N.Nauata, L.Cooper
In International Conference on Learning Representation Workshop (ICLR), 2016
Technical Reports
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Chiron: Privacy-preserving Machine Learning as a Service
[pdf]
T.Hunt, C.Song, R.Shokri, V.Shmatikov, E.Witchel
In arXiv preprint, 2018
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Fooling OCR Systems with Adversarial Text Images
[pdf][code by F.Tramèr et al]
C.Song, V.Shmatikov
In arXiv preprint, 2018