Congzheng Song
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Topic Modeling, Cryptography and Data Security, Natural Language Processing Techniques
Most-Cited Works
- → Membership Inference Attacks Against Machine Learning Models(2017)4,037 cited
- → Machine Learning Models that Remember Too Much(2017)484 cited
- → Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models(2017)238 cited
- → Information Leakage in Embedding Models(2020)195 cited
- → Auditing Data Provenance in Text-Generation Models(2019)182 cited
- → Chiron: Privacy-preserving Machine Learning as a Service(2018)177 cited
- Inference Attacks Against Collaborative Learning.(2018)
- → Exploiting Unintended Feature Leakage in Collaborative Learning(2019)87 cited
- → Overlearning Reveals Sensitive Attributes(2019)55 cited
- You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion(2021)