Jamie Cui

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All published works

Action	Title	Year	Authors
+	Online Efficient Secure Logistic Regression based on Function Secret Sharing	2023	Jing Liu Jamie Cui Cen Chen
+ PDF Chat	A Customized Text Sanitization Mechanism with Differential Privacy	2023	Sai Chen Fengran Mo Yanhao Wang Cen Chen Jian‐Yun Nie Chengyu Wang Jamie Cui
+	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation	2022	Jamie Cui Chaochao Chen Lingjuan Lyu Carl Yang Wang Li
+	A Customized Text Sanitization Mechanism with Differential Privacy	2022	Huimin Chen Fengran Mo Yanhao Wang Cen Chen Jian‐Yun Nie Chengyu Wang Jamie Cui
+	Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection	2022	Yingting Liu Chaochao Chen Jamie Cui Li Wang Lei Wang
+	DP-PSI: Private and Secure Set Intersection	2022	Jian Du Tianxi Ji Jamie Cui Lei Zhang Yufei Lu Pu Duan
+	Practical and Light-weight Secure Aggregation for Federated Submodel Learning	2021	Jamie Cui Cen Chen Tiandi Ye Li Wang
+	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications	2020	Chaochao Chen Jamie Cui Guanfeng Liu Jia Wu Wang Li

Common Coauthors

Coauthor	Papers Together
Cen Chen	4
Chaochao Chen	3
Jian‐Yun Nie	2
Yanhao Wang	2
Fengran Mo	2
Chengyu Wang	2
Yingting Liu	1
Lingjuan Lyu	1
Yufei Lu	1
Guanfeng Liu	1
Li Wang	1
Li Wang	1
Huimin Chen	1
Wang Li	1
Wang Li	1
Jian Du	1
Lei Zhang	1
Lei Wang	1
Sai Chen	1
Pu Duan	1
Carl Yang	1
Jia Wu	1
Tianxi Ji	1
Jing Liu	1
Tiandi Ye	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Monte Carlo Methods for Statistical Inference	2009	James E. Gentle	1
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	1
+	Local Privacy and Statistical Minimax Rates	2013	John C. Duchi Michael I. Jordan Martin J. Wainwright	1
+ PDF Chat	"Secure" Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases	2007	Aleksandra Slavković Yuval Nardi M. Tibbits	1
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	1
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	1
+ PDF Chat	Product-Based Neural Networks for User Response Prediction	2016	Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang	1
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	1
+ PDF Chat	MedSTS: a resource for clinical semantic textual similarity	2018	Yanshan Wang Naveed Afzal Sunyang Fu Liwei Wang Feichen Shen Majid Rastegar-Mojarad Hongfang Liu	1
+	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding	2018	Alex Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel Bowman	1
+	Publicly Available Clinical BERT Embeddings	2019	Emily Alsentzer John R. Murphy Willie Boag Wei‐Hung Weng Di Jin Tristan Naumann Matthew B. A. McDermott	1
+	The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks	2018	Nicholas Carlini Chang Liu Úlfar Erlingsson Jernej Kos Dawn Song	1
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	1
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	1
+	Counter-fitting Word Vectors to Linguistic Constraints	2016	Nikola Mrkšić Diarmuid Ó Séaghdha Blaise Thomson Milica Gašić Lina M. Rojas-Barahona Pei-Hao Su David Vandyke Tsung-Hsien Wen Steve Young	1
+	Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation	2018	Takao Murakami Yusuke Kawamoto	1
+ PDF Chat	Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations	2020	Oluwaseyi Feyisetan Borja Balle Thomas M Drake Tom Diethe	1
+ PDF Chat	Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text	2019	Oluwaseyi Feyisetan Tom Diethe Thomas M Drake	1
+	SAFER: Sparse secure Aggregation for FEderated leaRning.	2020	Constance Béguier Eric W. Tramel	1
+	Information-theoretic privacy in federated submodel learning	2022	Minchul Kim Jungwoo Lee	1
+	FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning	2020	Swanand Kadhe Nived Rajaraman O. Ozan Koyluoglu Kannan Ramchandran	1
+ PDF Chat	Survey of Personalization Techniques for Federated Learning	2020	Viraj Kulkarni Milind Kulkarni Aniruddha Pant	1
+ PDF Chat	Information Leakage in Embedding Models	2020	Congzheng Song Ananth Raghunathan	1
+	Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness	2020	Lingjuan Lyu Xuanli He Yitong Li	1
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	1
+ PDF Chat	Sparse Communication for Distributed Gradient Descent	2017	Alham Fikri Aji Kenneth Heafield	1
+ PDF Chat	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning	2020	Sameer Wagh Shruti Tople Fabrice Benhamouda Eyal Kushilevitz Prateek Mittal Tal Rabin	1
+ PDF Chat	HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients	2020	Enmao Diao Jie Ding Vahid Tarokh	1
+ PDF Chat	Lightweight Techniques for Private Heavy Hitters	2021	Dan Boneh Elette Boyle Henry Corrigan-Gibbs Niv Gilboa Yuval Ishai	1
+ PDF Chat	CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU	2021	Sijun Tan Brian Knott Yuan Tian David J. Wu	1
+ PDF Chat	Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels	2021	Fatemehsadat Mireshghallah Huseyin A. Inan Marcello Hasegawa Victor Rühle Taylor Berg-Kirkpatrick Robert B. Sim	1
+	Differential Privacy for Text Analytics via Natural Text Sanitization	2021	Xiang Yue Minxin Du Tianhao Wang Yaliang Li Huan Sun Sherman S. M. Chow	1
+ PDF Chat	Survey: Leakage and Privacy at Inference Time	2022	Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. O’Neil Alexander Weir Roderick Murray‐Smith Sotirios A. Tsaftaris	1
+	Large-Scale Differentially Private BERT	2022	Rohan Anil Badih Ghazi Vineet Gupta Ravi Kumar Pasin Manurangsi	1
+	Natural Language Understanding with Privacy-Preserving BERT	2021	Chen Qu Weize Kong Yang Liu Mingyang Zhang Michael Bendersky Marc Najork	1
+	Large Language Models Can Be Strong Differentially Private Learners	2021	Xuechen Li Florian Tramèr Percy Liang Tatsunori Hashimoto	1
+	Extracting Training Data from Large Language Models	2020	Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss Katherine Lee Adam Roberts Tom Brown Dawn Song Úlfar Erlingsson	1
+ PDF Chat	pMPL: A Robust Multi-Party Learning Framework with a Privileged Party	2022	Lushan Song Jiaxuan Wang Zhexuan Wang Xinyu Tu G. Lin Wenqiang Ruan Haoqi Wu Weili Han	1