引用次数
引用: 8,205
H-指数: 14
I10-指数 : 17
出版物: 26
Chiron: Privacy-preserving Machine Learning as a Service.
Vitaly Shmatikov , Reza Shokri , Tyler Hunt , Emmett Witchel
arXiv: Cryptography and Security
173
2018
Exploiting Unintended Feature Leakage in Collaborative Learning
Vitaly Shmatikov , Emiliano De Cristofaro , Luca Melis , Congzheng Song
arXiv: Cryptography and Security
1,007
2018
Overlearning Reveals Sensitive Attributes
Vitaly Shmatikov , Congzheng Song
arXiv: Learning
92
2019
Machine Learning Models that Remember Too Much
Vitaly Shmatikov , Thomas Ristenpart , Congzheng Song
arXiv: Cryptography and Security
400
2017
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion.
Vitaly Shmatikov , Eran Tromer , Roei Schuster , Congzheng Song
arXiv: Cryptography and Security
60
2020
Adversarial Semantic Collisions
Vitaly Shmatikov , Alexander M. Rush , Congzheng Song
arXiv: Computation and Language
12
2020
Cell-phone traces reveal infection-associated behavioral change
Ellen Brooks-Pollock , Ymir Vigfusson , Congzheng Song , Atli F. Einarsson
Proceedings of the National Academy of Sciences of the United States of America 118 ( 6)
1
2021
Auditing Data Provenance in Text-Generation Models
Congzheng Song , Vitaly Shmatikov
knowledge discovery and data mining 196 -206
145
2019
Membership Encoding for Deep Learning
Congzheng Song , Reza Shokri
computer and communications security 344 -356
1
2020
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models.
Safoora Yousefi , Fatemeh Amrollahi , Mohamed Amgad , Chengliang Dong
Scientific Reports 7 ( 1) 11707 -11707
181
2017
Membership Inference Attacks Against Machine Learning Models
Reza Shokri , Marco Stronati , Congzheng Song , Vitaly Shmatikov
2017 IEEE Symposium on Security and Privacy (SP) 3 -18
2,669
2017
Information Leakage in Embedding Models
Congzheng Song , Ananth Raghunathan
computer and communications security 377 -390
86
2020
Measuring the Unmeasured: New Threats to Machine Learning Systems
Congzheng Song
Smpte Journal
2020
Training a Tokenizer for Free with Private Federated Learning
Eugene Bagdasaryan , Congzheng Song , Rogier van Dalen , Matt Seigel
arXiv preprint arXiv:2203.09943
2022
Generalized zero-shot text classification for ICD coding
Congzheng Song , Shanghang Zhang , Najmeh Sadoughi , Pengtao Xie
4018 -4024
58
2021
Private federated statistics in an interactive setting
Audra McMillan , Omid Javidbakht , Kunal Talwar , Elliot Briggs
arXiv preprint arXiv:2211.10082
5
2022
Flair: Federated learning annotated image repository
Congzheng Song , Filip Granqvist , Kunal Talwar
Advances in Neural Information Processing Systems 35 37792 -37805
17
2022
Samplable anonymous aggregation for private federated data analysis
Kunal Talwar , Shan Wang , Audra McMillan , Vojta Jina
arXiv preprint arXiv:2307.15017
6
2023
Learning Genomic Representations to Predict Clinical Outcomes in Cancer
Safoora Yousefi , Congzheng Song , Nelson Nauata , Lee Cooper
International Conference on Learning Representations (ICLR)
14
2016
Fooling OCR systems with adversarial text images
Congzheng Song , Vitaly Shmatikov
arXiv preprint arXiv:1802.05385
51
2018
Vitaly Shmatikov Reza Shokri Luca Melis Emiliano De Cristofaro Thomas Ristenpart Ananth Raghunathan Filip Granqvist Eric Xing Shanghang Zhang Najmeh Sadoughi Nourabadi Pengtao Xie Roei Schuster Eran Tromer Rogier van Dalen Kunal Talwar Alexander M. Rush Mingbin Xu Ymir Vigfusson Yiming Sun Eugene Bagdasaryan