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ORCIDCongzheng Song
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2020 – today
- 2020
[c9]Congzheng Song, Reza Shokri:
Membership Encoding for Deep Learning. AsiaCCS 2020: 344-356- [c8]Congzheng Song, Ananth Raghunathan:
Information Leakage in Embedding Models. CCS 2020: 377-390 - [c7]Congzheng Song, Alexander M. Rush, Vitaly Shmatikov:
Adversarial Semantic Collisions. EMNLP (1) 2020: 4198-4210 - [c6]Congzheng Song, Vitaly Shmatikov:
Overlearning Reveals Sensitive Attributes. ICLR 2020 - [c5]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-Shot Text Classification for ICD Coding. IJCAI 2020: 4018-4024 - [i13]Congzheng Song, Ananth Raghunathan:
Information Leakage in Embedding Models. CoRR abs/2004.00053 (2020) - [i12]Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov:
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. CoRR abs/2007.02220 (2020) - [i11]Congzheng Song, Alexander M. Rush, Vitaly Shmatikov:
Adversarial Semantic Collisions. CoRR abs/2011.04743 (2020)
2010 – 2019
- 2019
- [c4]Congzheng Song, Vitaly Shmatikov:
Auditing Data Provenance in Text-Generation Models. KDD 2019: 196-206 - [c3]Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov:
Exploiting Unintended Feature Leakage in Collaborative Learning. IEEE Symposium on Security and Privacy 2019: 691-706 - [i10]Congzheng Song, Vitaly Shmatikov:
Overlearning Reveals Sensitive Attributes. CoRR abs/1905.11742 (2019) - [i9]Congzheng Song, Reza Shokri:
Membership Encoding for Deep Learning. CoRR abs/1909.12982 (2019) - [i8]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-shot ICD Coding. CoRR abs/1909.13154 (2019) - 2018
- [i7]Congzheng Song, Yiming Sun:
Kernel Distillation for Gaussian Processes. CoRR abs/1801.10273 (2018) - [i6]Congzheng Song, Vitaly Shmatikov:
Fooling OCR Systems with Adversarial Text Images. CoRR abs/1802.05385 (2018) - [i5]Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel:
Chiron: Privacy-preserving Machine Learning as a Service. CoRR abs/1803.05961 (2018) - [i4]Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov:
Inference Attacks Against Collaborative Learning. CoRR abs/1805.04049 (2018) - [i3]Congzheng Song, Vitaly Shmatikov:
The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model. CoRR abs/1811.00513 (2018) - 2017
- [c2]Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov:
Machine Learning Models that Remember Too Much. CCS 2017: 587-601 - [c1]Reza Shokri
, Marco Stronati, Congzheng Song, Vitaly Shmatikov:
Membership Inference Attacks Against Machine Learning Models. IEEE Symposium on Security and Privacy 2017: 3-18 - [i2]Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov:
Machine Learning Models that Remember Too Much. CoRR abs/1709.07886 (2017) - 2016
- [i1]Safoora Yousefi, Congzheng Song, Nelson Nauata, Lee Cooper:
Learning Genomic Representations to Predict Clinical Outcomes in Cancer. CoRR abs/1609.08663 (2016)
Coauthor Index
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