Congzheng Song
Congzheng Song
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Cited by
Cited by
Membership inference attacks against machine learning models
R Shokri, M Stronati, C Song, V Shmatikov
IEEE Symposium on Security and Privacy (S&P), Oakland, 2017
Exploiting Unintended Feature Leakage in Collaborative Learning
L Melis, C Song, E De Cristofaro, V Shmatikov
IEEE Symposium on Security and Privacy (S&P), Oakland, 2019
Machine Learning Models that Remember Too Much
C Song, T Ristenpart, V Shmatikov
The ACM Conference on Computer and Communications Security, 2017
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
S Yousefi, F Amrollahi, M Amgad, C Dong, JE Lewis, C Song, DA Gutman, ...
Scientific Reports 7, 2017
Chiron: Privacy-preserving Machine Learning as a Service
T Hunt, C Song, R Shokri, V Shmatikov, E Witchel
arXiv preprint arXiv:1803.05961, 2018
Auditing Data Provenance in Text-Generation Models
C Song, V Shmatikov
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
Overlearning Reveals Sensitive Attributes
C Song, V Shmatikov
International Conference on Learning Representations, 2020
Fooling OCR Systems with Adversarial Text Images
C Song, V Shmatikov
arXiv preprint arXiv:1802.05385, 2018
Information leakage in embedding models
C Song, A Raghunathan
The ACM SIGSAC Conference on Computer and Communications Security, 377-390, 2020
Learning Genomic Representations to Predict Clinical Outcomes in Cancer
S Yousefi, C Song, N Nauata, L Cooper
arXiv preprint arXiv:1609.08663, 2016
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
R Schuster, C Song, E Tromer, V Shmatikov
arXiv preprint arXiv:2007.02220, 2020
Generalized Zero-Shot Text Classification for ICD Coding
C Song, S Zhang, N Sadoughi, P Xie, E Xing
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Membership Encoding for Deep Learning
C Song, R Shokri
The ACM ASIA Conference on Computer and Communications Security, 2020
Adversarial Semantic Collisions
C Song, AM Rush, V Shmatikov
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Cell-phone traces reveal infection-associated behavioral change
Y Vigfusson, TA Karlsson, D Onken, C Song, AF Einarsson, N Kishore, ...
Proceedings of the National Academy of Sciences 118 (6), 2021
Measuring The Unmeasured: New Threats to Machine Learning Systems
C Song
Cornell University, 2020
What Are Machine Learning Models Hiding?
V Shmatikov, C Song
Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs), 2018
Kernel Distillation for Fast Gaussian Processes Prediction
C Song, Y Sun
arXiv preprint arXiv:1801.10273, 2018
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