Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,125 papers shown

Title
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 23 5 0 09 Oct 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Lucia Innocenti Michela Antonelli Francesco Cremonesi Kenaan Sarhan Alejandro Granados Vicky Goh Sebastien Ourselin Marco Lorenzi FedML 26 2 0 29 Sep 2023
Knowledge Sanitization of Large Language Models Yoichi Ishibashi Hidetoshi Shimodaira KELM 39 19 0 21 Sep 2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 38 1 0 19 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 34 16 0 19 Sep 2023
Private Matrix Factorization with Public Item Features Mihaela Curmei Walid Krichene Li Zhang Mukund Sundararajan 39 3 0 17 Sep 2023
Communication Efficient Private Federated Learning Using Dithering Burak Hasircioglu Deniz Gunduz FedML 47 7 0 14 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying-Cong Chen FedML 43 5 0 13 Sep 2023
Chained-DP: Can We Recycle Privacy Budget? Jingyi Li Guangjing Huang Liekang Zeng Lin Chen Xu Chen FedML 36 0 0 12 Sep 2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach Sofiane Ouaari Ali Burak Ünal Mete Akgun Nícolas Pfeifer 32 0 0 08 Sep 2023
SHAPE: A Framework for Evaluating the Ethicality of Influence Elfia Bezou-Vrakatseli Benedikt Brückner Luke Thorburn TDI 34 3 0 08 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 32 9 0 06 Sep 2023
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective Héber H. Arcolezi Sébastien Gambs 45 1 0 04 Sep 2023
The Relative Gaussian Mechanism and its Application to Private Gradient Descent Hadrien Hendrikx Paul Mangold A. Bellet 38 1 0 29 Aug 2023
Differentially Private Aggregation via Imperfect Shuffling Badih Ghazi Ravi Kumar Pasin Manurangsi Jelani Nelson Samson Zhou FedML 32 1 0 28 Aug 2023
ASCAPE: An open AI ecosystem to support the quality of life of cancer patients Konstantinos Lampropoulos T. Kosmidis Serge Autexier Miloš Savić Manos Athanatos Miltiadis Kokkonidis Tzortzia Koutsouri A. Vizitiu A. Valachis Miriam Quintero Padron 21 4 0 28 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 33 7 0 23 Aug 2023
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations Xinpeng Ling Jie Fu Kuncan Wang Haitao Liu Zhili Chen FedML 44 2 0 21 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 26 3 0 15 Aug 2023
White-box Membership Inference Attacks against Diffusion Models Yan Pang Tianhao Wang Xu Kang Mengdi Huai Yang Zhang AAML DiffM 53 22 0 11 Aug 2023
Private Distribution Learning with Public Data: The View from Sample Compression Shai Ben-David Alex Bie C. Canonne Gautam Kamath Vikrant Singhal 49 11 0 11 Aug 2023
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore Sewon Min Suchin Gururangan Eric Wallace Hannaneh Hajishirzi Noah A. Smith Luke Zettlemoyer AILaw 28 63 0 08 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 26 16 0 08 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 39 3 0 07 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 43 13 0 27 Jul 2023
Mitigating Cross-client GANs-based Attack in Federated Learning Hong Huang Xinyu Lei Tao Xiang AAML 57 1 0 25 Jul 2023
Differentially Private Heavy Hitter Detection using Federated Analytics Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman H. Hashemi O. Javidbakht Audra McMillan Kunal Talwar FedML 37 7 0 21 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 48 23 0 20 Jul 2023
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 26 8 0 19 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 41 12 0 12 Jul 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation Zhexin Zhang Jiaxin Wen Minlie Huang 38 32 0 10 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 46 9 0 10 Jul 2023
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy Georgios Kaissis Jamie Hayes Alexander Ziller Daniel Rueckert AAML 48 11 0 08 Jul 2023
Personalized Privacy Amplification via Importance Sampling Dominik Fay Sebastian Mair Jens Sjölund 68 0 0 05 Jul 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data Xinzhe Li Ming Liu Shang Gao MU 53 8 0 02 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 38 3 0 01 Jul 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 38 11 0 30 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 87 0 27 Jun 2023
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jinglong Luo Yehong Zhang Jiaqi Zhang Shuang Qin Haibo Wang Yue Yu Zenglin Xu 51 5 0 26 Jun 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo Hong Liu Shitong Sun Tianyu Guo Hao Fei Chenyang Si 43 3 0 19 Jun 2023
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions Abdulrahman Diaa L. Fenaux Thomas Humphries Marian Dietz Faezeh Ebrahimianghazani ... Nils Lukas Rasoul Akhavan Mahdavi Simon Oya Ehsan Amjadian Florian Kerschbaum PICV 24 6 0 14 Jun 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 33 20 0 14 Jun 2023
Differentially Private Image Classification by Learning Priors from Random Processes Xinyu Tang Ashwinee Panda Vikash Sehwag Prateek Mittal 36 20 0 08 Jun 2023
PILLAR: How to make semi-private learning more effective Francesco Pinto Yaxian Hu Fanny Yang Amartya Sanyal 57 11 0 06 Jun 2023
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning Umang Gupta Aram Galstyan Greg Ver Steeg 16 2 0 30 May 2023
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