Congzheng Song

38 papers A* 11A 1Misc 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices. EMNLP (Industry Track) Congzheng Song, Xinyu Tang
2025	J	`jnl`	Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices. CoRR Congzheng Song, Xinyu Tang
2025	J	`jnl`	Private Federated Learning In Real World Application - A Case Study. CoRR An Ji, Bortik Bandyopadhyay, Congzheng Song, Natarajan Krishnaswami, Prabal Vashisht, Rigel Smiroldo, Isabel Litton, Sayantan Mahinder, Mona Chitnis, Andrew W. Hill
2024	J	`jnl`	Momentum Approximation in Asynchronous Private Federated Learning. CoRR Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis
2024	A*	`conf`	Samplable Anonymous Aggregation for Private Federated Data Analysis. CCS Kunal Talwar, Shan Wang, Audra McMillan, Vitaly Feldman, Pansy Bansal, Bailey Basile, Áine 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
2024	A*	`conf`	pfl-research: simulation framework for accelerating research in Private Federated Learning. NeurIPS Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
2024	J	`jnl`	pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
2023	J	`jnl`	Population Expansion for Training Language Models with Private Federated Learning. CoRR Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis
2023	J	`jnl`	Samplable Anonymous Aggregation for Private Federated Data Analysis. CoRR Kunal Talwar, Shan Wang, Audra McMillan, Vojta Jina, Vitaly Feldman, Bailey Basile, Áine 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, Michael Scaria, Linmao Song, Congzheng Song, Karl Tarbe, Sebastian Vogt, Luke Winstrom, Shundong Zhou
2023	Misc	`conf`	Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. ICASSP 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
2022	A*	`conf`	FLAIR: Federated Learning Annotated Image Repository. NeurIPS Congzheng Song, Filip Granqvist, Kunal Talwar
2022	J	`jnl`	FLAIR: Federated Learning Annotated Image Repository. CoRR Congzheng Song, Filip Granqvist, Kunal Talwar
2022	J	`jnl`	Private Federated Statistics in an Interactive Setting. CoRR 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
2022	J	`jnl`	Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. CoRR 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
2022	J	`jnl`	Training a Tokenizer for Free with Private Federated Learning. CoRR Eugene Bagdasaryan, Congzheng Song, Rogier C. van Dalen, Matt Seigel, Áine Cahill
2021	A*	`conf`	You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. USENIX Security Symposium Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov
2020	—	`conf`	Adversarial Semantic Collisions. EMNLP (1) Congzheng Song, Alexander M. Rush, Vitaly Shmatikov
2020	J	`jnl`	Adversarial Semantic Collisions. CoRR Congzheng Song, Alexander M. Rush, Vitaly Shmatikov
2020	A*	`conf`	Generalized Zero-Shot Text Classification for ICD Coding. IJCAI Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing
2020	A*	`conf`	Information Leakage in Embedding Models. CCS Congzheng Song, Ananth Raghunathan
2020	J	`jnl`	Information Leakage in Embedding Models. CoRR Congzheng Song, Ananth Raghunathan
2020	A	`conf`	Membership Encoding for Deep Learning. AsiaCCS Congzheng Song, Reza Shokri
2020	A*	`conf`	Overlearning Reveals Sensitive Attributes. ICLR Congzheng Song, Vitaly Shmatikov
2020	J	`jnl`	You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. CoRR Roei Schuster, Congzheng Song, Eran Tromer, Vitaly Shmatikov
2019	A*	`conf`	Auditing Data Provenance in Text-Generation Models. KDD Congzheng Song, Vitaly Shmatikov
2019	A*	`conf`	Exploiting Unintended Feature Leakage in Collaborative Learning. IEEE Symposium on Security and Privacy Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov
2019	J	`jnl`	Generalized Zero-shot ICD Coding. CoRR Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing
2019	J	`jnl`	Membership Encoding for Deep Learning. CoRR Congzheng Song, Reza Shokri
2019	J	`jnl`	Overlearning Reveals Sensitive Attributes. CoRR Congzheng Song, Vitaly Shmatikov
2018	J	`jnl`	Chiron: Privacy-preserving Machine Learning as a Service. CoRR Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel
2018	J	`jnl`	Fooling OCR Systems with Adversarial Text Images. CoRR Congzheng Song, Vitaly Shmatikov
2018	J	`jnl`	Inference Attacks Against Collaborative Learning. CoRR Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov
2018	J	`jnl`	Kernel Distillation for Gaussian Processes. CoRR Congzheng Song, Yiming Sun
2018	J	`jnl`	The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model. CoRR Congzheng Song, Vitaly Shmatikov
2017	A*	`conf`	Machine Learning Models that Remember Too Much. CCS Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov
2017	J	`jnl`	Machine Learning Models that Remember Too Much. CoRR Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov
2017	A*	`conf`	Membership Inference Attacks Against Machine Learning Models. IEEE Symposium on Security and Privacy Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov
2016	J	`jnl`	Learning Genomic Representations to Predict Clinical Outcomes in Cancer. CoRR Safoora Yousefi, Congzheng Song, Nelson Nauata, Lee Cooper