Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,131 papers shown

Title
Clip21: Error Feedback for Gradient Clipping Sarit Khirirat Eduard A. Gorbunov Samuel Horváth Rustem Islamov Fakhri Karray Peter Richtárik 45 10 0 30 May 2023
Collaborative Learning via Prediction Consensus Dongyang Fan Celestine Mendler-Dünner Martin Jaggi FedML 29 7 0 29 May 2023
Training Private Models That Know What They Don't Know Stephan Rabanser Anvith Thudi Abhradeep Thakurta Krishnamurthy Dvijotham Nicolas Papernot 26 7 0 28 May 2023
Data Minimization at Inference Time Cuong Tran Ferdinando Fioretto 33 1 0 27 May 2023
On Consistent Bayesian Inference from Synthetic Data Ossi Raisa Joonas Jälkö Antti Honkela SyDa 31 2 0 26 May 2023
Private Meeting Summarization Without Performance Loss Seolhwa Lee Anders Søgaard 31 2 0 25 May 2023
Privacy Protectability: An Information-theoretical Approach Siping Shi Bihai Zhang Dan Wang 34 1 0 25 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 30 9 0 24 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 43 37 0 24 May 2023
Selective Pre-training for Private Fine-tuning Da Yu Sivakanth Gopi Janardhan Kulkarni Zinan Lin Saurabh Naik Tomasz Religa Jian Yin Huishuai Zhang 43 19 0 23 May 2023
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting Xinlu Zhang Shiyang Li Xianjun Yang Chenxin Tian Yao Qin Linda R. Petzold 30 9 0 22 May 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Bo Li H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 31 37 0 20 May 2023
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 41 4 0 19 May 2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling Chun-Wei Ho Chao-Han Huck Yang Sabato Marco Siniscalchi 28 1 0 19 May 2023
TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism Jiandong Liu Lan Zhang Chaojie Lv Ting Yu N. Freris Xiang-Yang Li 29 0 0 18 May 2023
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses S. Asoodeh Mario Díaz 20 6 0 17 May 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 26 12 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 46 4 0 16 May 2023
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence Veronika Stephanie I. Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman FedML 13 10 0 16 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 23 2 0 15 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 34 12 0 15 May 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning Yumeki Goto Tomoya Matsumoto Hamada Rizk Naoto Yanai Hirozumi Yamaguchi 33 6 0 14 May 2023
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning Md. Adnan Arefeen Zhouyu Li M. Y. S. Uddin Anupam Das 27 0 0 13 May 2023
Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results Lisa Kühnel Julian Schneider Ines Perrar Tim Adams F. Prasser U. Nöthlings Holger Fröhlich Juliane Fluck 35 5 0 12 May 2023
Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniques Pepijn de Reus Ana Oprescu Koen van Elsen 22 3 0 11 May 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao Weiming Liu Xiaolin Zheng Binhui Yao Chaochao Chen 39 13 0 11 May 2023
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training Dmitrii Usynin Daniel Rueckert Georgios Kaissis FedML 30 2 0 04 May 2023
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions Fabio Hellmann Silvan Mertes Mohamed Benouis Alexander Hustinx Tzung-Chien Hsieh Cristina Conati P. Krawitz Elisabeth André PICV CVBM 42 11 0 03 May 2023
Sparse Private LASSO Logistic Regression Amol Khanna Fred Lu Edward Raff Brian Testa 21 3 0 24 Apr 2023
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges Chuan Chen Yuecheng Li Zhenpeng Wu Chengyuan Mai Youming Liu Yanming Hu Zibin Zheng Jiawen Kang 56 16 0 23 Apr 2023
Emergent and Predictable Memorization in Large Language Models Stella Biderman USVSN Sai Prashanth Lintang Sutawika Hailey Schoelkopf Quentin G. Anthony Shivanshu Purohit Edward Raf 35 117 0 21 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 36 12 0 21 Apr 2023
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase Chih-Hsun Lin Chia-Yi Hsu Chia-Mu Yu Yang Cao Chun-ying Huang 41 1 0 20 Apr 2023
BadVFL: Backdoor Attacks in Vertical Federated Learning Mohammad Naseri Yufei Han Emiliano De Cristofaro FedML AAML 37 11 0 18 Apr 2023
FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain Nazar Waheed A. Rehman Anushka Nehra Mahnoor Farooq Nargis Tariq M. Jan Fazlullah Khan Abeer Z. Alalmaie P. Nanda 18 11 0 16 Apr 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 41 4 0 15 Apr 2023
Measuring Re-identification Risk CJ Carey Travis Dick Alessandro Epasto Adel Javanmard Josh Karlin ... Andrés Munoz Medina Vahab Mirrokni Gabriel H. Nunes Sergei Vassilvitskii Peilin Zhong 33 9 0 12 Apr 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 41 10 0 12 Apr 2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain Zhibo Xing Zijian Zhang Meng Li Jing Liu Liehuang Zhu Giovanni Russello M. R. Asghar 26 18 0 12 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 34 4 0 11 Apr 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Feng Shu Haitao Zhao Wen Chen Hongbo Zhu FedML 40 4 0 09 Apr 2023
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 36 11 0 07 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 32 14 0 05 Apr 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 35 15 0 04 Apr 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 38 0 0 03 Apr 2023
On the Query Complexity of Training Data Reconstruction in Private Learning Prateeti Mukherjee Satyanarayana V. Lokam 35 0 0 29 Mar 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties Jingwei Sun Zhixu Du Anna Dai Saleh Baghersalimi Alireza Amirshahi David Atienza Yiran Chen FedML 21 8 0 28 Mar 2023
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 20 0 0 28 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 19 26 0 25 Mar 2023
Fairness-aware Differentially Private Collaborative Filtering Zhenhuan Yang Yingqiang Ge Congzhe Su Dingxian Wang Xiaoting Zhao Yiming Ying FedML 37 3 0 16 Mar 2023