Congzheng Song

According to our database, Congzheng Song authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Momentum Approximation in Asynchronous Private Federated Learning.

Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis

CoRR, 2024

2023

Samplable Anonymous Aggregation for Private Federated Data Analysis.

Kunal Talwar, Shan Wang, Audra McMillan, Vojta Jina, Vitaly Feldman, Bailey Basile, Áine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver Chick, Mona Chitnis, Suman Ganta, Yusuf Goren, Filip Granqvist, Kristine Guo, Frederic Jacobs, Omid Javidbakht, Albert Liu, Richard Low, Dan Mascenik, Steve Myers, David Park, Wonhee Park, Gianni Parsa, Tommy Pauly, Christian Priebe, Rehan Rishi, Guy N. Rothblum, Michael Scaria, Linmao Song, Congzheng Song, Karl Tarbe, Sebastian Vogt, Luke Winstrom, Shundong Zhou

CoRR, 2023

Population Expansion for Training Language Models with Private Federated Learning.

Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis

CoRR, 2023

Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices.

Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier C. van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Private Federated Statistics in an Interactive Setting.

Audra McMillan, Omid Javidbakht, Kunal Talwar, Elliot Briggs, Mike Chatzidakis, Junye Chen, John C. Duchi, Vitaly Feldman, Yusuf Goren, Michael Hesse, Vojta Jina, Anil Katti, Albert Liu, Cheney Lyford, Joey Meyer, Alex Palmer, David Park, Wonhee Park, Gianni Parsa, Paul Pelzl, Rehan Rishi, Congzheng Song, Shan Wang, Shundong Zhou

CoRR, 2022

Training a Tokenizer for Free with Private Federated Learning.

Eugene Bagdasaryan, Congzheng Song, Rogier C. van Dalen, Matt Seigel, Áine Cahill

CoRR, 2022

FLAIR: Federated Learning Annotated Image Repository.

Congzheng Song, Filip Granqvist, Kunal Talwar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion.

Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov

Proceedings of the 30th USENIX Security Symposium, 2021

2020

Generalized Zero-Shot Text Classification for ICD Coding.

Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Overlearning Reveals Sensitive Attributes.

Congzheng Song, Vitaly Shmatikov

Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarial Semantic Collisions.

Congzheng Song, Alexander M. Rush, Vitaly Shmatikov

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Membership Encoding for Deep Learning.

Congzheng Song, Reza Shokri

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

Information Leakage in Embedding Models.

Congzheng Song, Ananth Raghunathan

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Generalized Zero-shot ICD Coding.

Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing

CoRR, 2019

Exploiting Unintended Feature Leakage in Collaborative Learning.

Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Auditing Data Provenance in Text-Generation Models.

Congzheng Song, Vitaly Shmatikov

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model.

Congzheng Song, Vitaly Shmatikov

CoRR, 2018

Inference Attacks Against Collaborative Learning.

Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov

CoRR, 2018

Chiron: Privacy-preserving Machine Learning as a Service.

Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel

CoRR, 2018

Fooling OCR Systems with Adversarial Text Images.

Congzheng Song, Vitaly Shmatikov

CoRR, 2018

Kernel Distillation for Gaussian Processes.

Congzheng Song, Yiming Sun

CoRR, 2018

2017

Membership Inference Attacks Against Machine Learning Models.

Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov

Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017

Machine Learning Models that Remember Too Much.

Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Learning Genomic Representations to Predict Clinical Outcomes in Cancer.

Safoora Yousefi, Congzheng Song, Nelson Nauata, Lee Cooper

CoRR, 2016