Congzheng Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices. | Congzheng Song, Xinyu Tang |
| 2024 | CCS | Samplable Anonymous Aggregation for Private Federated Data Analysis. | Kunal Talwar, Shan Wang, Audra McMillan, Vitaly Feldman, Pansy Bansal, Bailey Basile, ine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver R. A. 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, Congzheng Song, Linmao Song, Karl Tarbe, Sebastian Vogt, Shundong Zhou, Vojta Jina, Michael Scaria, Luke Winstrom |
| 2023 | ICASSP | 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 |
| 2020 | CCS | Information Leakage in Embedding Models. | Congzheng Song, Ananth Raghunathan |
| 2020 | CCS | Membership Encoding for Deep Learning. | Congzheng Song, Reza Shokri |
| 2020 | EMNLP | Adversarial Semantic Collisions. | Congzheng Song, Alexander M. Rush, Vitaly Shmatikov |
| 2020 | ICLR | Overlearning Reveals Sensitive Attributes. | Congzheng Song, Vitaly Shmatikov |
| 2020 | IJCAI | Generalized Zero-Shot Text Classification for ICD Coding. | Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing |
| 2019 | KDD | Auditing Data Provenance in Text-Generation Models. | Congzheng Song, Vitaly Shmatikov |
| 2019 | SP | Exploiting Unintended Feature Leakage in Collaborative Learning. | Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov |
| 2017 | CCS | Machine Learning Models that Remember Too Much. | Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov |
| 2017 | SP | Membership Inference Attacks Against Machine Learning Models. | Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov |