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
Auditing Data Provenance in Text-Generation Models
C Song, V Shmatikov
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
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
Information leakage in embedding models
C Song, A Raghunathan
The ACM SIGSAC Conference on Computer and Communications Security, 377-390, 2020
Overlearning Reveals Sensitive Attributes
C Song, V Shmatikov
International Conference on Learning Representations, 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
R Schuster, C Song, E Tromer, V Shmatikov
The 30th USENIX Security symposium, 2021
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
Fooling OCR Systems with Adversarial Text Images
C Song, V Shmatikov
arXiv preprint arXiv:1802.05385, 2018
Adversarial Semantic Collisions
C Song, AM Rush, V Shmatikov
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
FLAIR: Federated Learning Annotated Image Repository
C Song, F Granqvist, K Talwar
Advances in Neural Information Processing Systems 35, 37792-37805, 2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
M Xu, C Song, Y Tian, N Agrawal, F Granqvist, R van Dalen, X Zhang, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and…, 2023
Learning Genomic Representations to Predict Clinical Outcomes in Cancer
S Yousefi, C Song, N Nauata, L Cooper
arXiv preprint arXiv:1609.08663, 2016
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), e2005241118, 2021
Membership Encoding for Deep Learning
C Song, R Shokri
The ACM ASIA Conference on Computer and Communications Security, 2020
Samplable Anonymous Aggregation for Private Federated Data Analysis
K Talwar, S Wang, A McMillan, V Jina, V Feldman, B Basile, A Cahill, ...
arXiv preprint arXiv:2307.15017, 2023
Private Federated Statistics in an Interactive Setting
A McMillan, O Javidbakht, K Talwar, E Briggs, M Chatzidakis, J Chen, ...
arXiv preprint arXiv:2211.10082, 2022
Training a Tokenizer for Free with Private Federated Learning
E Bagdasaryan, C Song, R van Dalen, M Seigel, Cahill
arXiv preprint arXiv:2203.09943, 2022
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