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Local Differential Privacy for Deep Learning

IEEE Internet of Things Journal (IEEE IoT Journal), 2019

8 August 2019

Pathum Chamikara Mahawaga Arachchige

Papers citing "Local Differential Privacy for Deep Learning"

50 / 66 papers shown

Title
Cooperative Local Differential Privacy: Securing Time Series Data in Distributed EnvironmentsIEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2025 Bikash Chandra Singh Md Jakir Hossain Rafael Diaz Sandip Roy Ravi Mukkamala Sachin Shetty 48 0 0 12 Nov 2025
PEEL: A Poisoning-Exposing Encoding Theoretical Framework for Local Differential Privacy Lisha Shuai Jiuling Dong Nan Zhang Shaofeng Tan Haokun Zhang Zilong Song Gaoya Dong Xiaolong Yang AAML 40 0 0 30 Oct 2025
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction Peilin He James Joshi 105 0 0 30 Jun 2025
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models Quan Nguyen Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML FedML 125 0 0 16 Jun 2025
PASS: Private Attributes Protection with Stochastic Data Substitution Yizhuo Chen Chun-Fu Chen Hsiang Hsu Shaohan Hu Tarek Abdelzaher 239 0 0 08 Jun 2025
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data Yan Zhou Sricharan Kumar Murat Kantarcioglu 136 1 0 02 Jun 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs Samaneh Mohammadi Iraklis Symeonidis Ali Balador Francesco Flammini FedML 106 2 0 11 May 2025
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Linda Scheu-Hachtel Jasmin Zalonis 163 0 0 09 May 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy Shun Zhang Hai Zhu Zhili Chen N. Xiong 166 0 0 29 Apr 2025
Tree-based Models for Vertical Federated Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2025 Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 220 3 0 03 Apr 2025
Token-Level Privacy in Large Language Models Reém Harel Niv Gilboa Yuval Pinter 161 0 0 05 Mar 2025
Federated Conversational Recommender System Allen Lin Jianling Wang Ziwei Zhu James Caverlee FedML 136 0 0 02 Mar 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification Anan Kabaha Dana Drachsler-Cohen AAML 301 1 0 23 Feb 2025
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning Nikolaos Chandrinos Iliana Loi Panagiotis Zachos Ioannis Symeonidis Aristotelis Spiliotis Maria Panou Konstantinos Moustakas 169 0 0 02 Dec 2024
Protecting Privacy in Classifiers by Token Manipulation Reém Harel Yair Elboher Yuval Pinter 139 1 0 01 Jul 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 242 6 0 10 Jun 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 212 4 0 10 Jun 2024
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud Zhepeng Wang Yi Sheng Nirajan Koirala Kanad Basu Taeho Jung Cheng-Chang Lu Weiwen Jiang 188 5 0 20 Apr 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 179 1 0 08 Feb 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 174 5 0 26 Jan 2024
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing Min Quan Dinh C. Nguyen Van-Dinh Nguyen M. Wijayasundara S. Setunge P. Pathirana 62 6 0 16 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems Sameera K.M. S. Nicolazzo Marco Arazzi Antonino Nocera Rafidha Rehiman K.A. V. P. Mauro Conti 135 53 0 07 Jan 2024
Verification of Neural Networks Local Differential Classification PrivacyInternational Conference on Verification, Model Checking and Abstract Interpretation (VMCAI), 2023 Roie Reshef Anan Kabaha Olga Seleznova Dana Drachsler-Cohen AAML 153 4 0 31 Oct 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction ApproachSDM (SDM), 2023 Karuna Bhaila Wen Huang Yongkai Wu Xintao Wu 151 12 0 15 Sep 2023
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing PerspectiveProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Héber H. Arcolezi Sébastien Gambs 283 5 0 04 Sep 2023
Locally Differentially Private Distributed Online Learning with Guaranteed OptimalityIEEE Transactions on Automatic Control (TAC), 2023 Ziqin Chen Yongqiang Wang 206 6 0 25 Jun 2023
OptimShare: A Unified Framework for Privacy Preserving Data Sharing -- Towards the Practical Utility of Data with Privacy Pathum Chamikara Mahawaga Arachchige Seung Ick Jang I. Oppermann Dongxi Liu Musotto Roberto ... Meisam Mohammady S. Çamtepe Sylvia Young Chris Dorrian Nasir David 197 2 0 06 Jun 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 273 6 0 24 May 2023
Active Membership Inference Attack under Local Differential Privacy in Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Truc D. T. Nguyen Phung Lai K. Tran Nhathai Phan My T. Thai FedML 173 29 0 24 Feb 2023
XRand: Differentially Private Defense against Explanation-Guided AttacksAAAI Conference on Artificial Intelligence (AAAI), 2022 Truc D. T. Nguyen Phung Lai Nhathai Phan My T. Thai AAML SILM 262 20 0 08 Dec 2022
A Systematic Literature Review On Privacy Of Deep Learning Systems Vishal Jignesh Gandhi Sanchit Shokeen Saloni Koshti PILM 141 1 0 07 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data PrivacyIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 191 9 0 01 Dec 2022
A Survey on Differential Privacy with Machine Learning and Future Outlook Samah Baraheem Z. Yao SyDa 142 2 0 19 Nov 2022
User-Entity Differential Privacy in Learning Natural Language Models Phung Lai Nhathai Phan Tong Sun R. Jain Franck Dernoncourt Jiuxiang Gu Nikolaos Barmpalios FedML 154 0 0 01 Nov 2022
Frequency Estimation of Evolving Data Under Local Differential PrivacyInternational Conference on Extending Database Technology (EDBT), 2022 Héber H. Arcolezi Carlos Pinzón C. Palamidessi Sébastien Gambs 195 14 0 01 Oct 2022
Momentum Gradient Descent Federated Learning with Local Differential Privacy Mengde Han Tianqing Zhu Wanlei Zhou FedML 160 0 0 28 Sep 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless SensingIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022 Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 239 505 0 01 Jun 2022
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? Héber H. Arcolezi Jean-François Couchot Denis Renaud Bechara al Bouna X. Xiao AI4TS 173 8 0 01 May 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 171 22 0 20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and ExplainabilityMachine Intelligence Research (MIR), 2022 Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Shucheng Zhou Suhang Wang 266 184 0 18 Apr 2022
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures Md Tamjid Hossain S. Badsha Hung M. La Haoting Shen Shafkat Islam Ibrahim Khalil X. Yi AAML 102 4 0 06 Apr 2022
Private Non-Convex Federated Learning Without a Trusted ServerInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 262 30 0 13 Mar 2022
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches Reena Zelenkova J. Swallow Pathum Chamikara Mahawaga Arachchige Dongxi Liu Mohan Baruwal Chhetri S. Çamtepe M. Grobler Mahathir Almashor AAML 75 2 0 18 Feb 2022
Local Differential Privacy for Federated LearningEuropean Symposium on Research in Computer Security (ESORICS), 2022 Pathum Chamikara Mahawaga Arachchige Dongxi Liu S. Çamtepe Surya Nepal M. Grobler P. Bertók Ibrahim Khalil FedML 140 24 0 12 Feb 2022
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity Honglu Jiang Yifeng Gao S. M. Sarwar Luis GarzaPerez M. Robin 95 11 0 03 Dec 2021
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design Niklas Hasebrook T. Dehling Ali Sunyaev 91 6 0 29 Nov 2021
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates Héber H. Arcolezi Jean-François Couchot Bechara al Bouna X. Xiao 147 33 0 08 Nov 2021
Task-aware Privacy Preservation for Multi-dimensional Data Jiangnan Cheng A. Tang Sandeep P. Chinchali 196 7 0 05 Oct 2021
A Validated Privacy-Utility Preserving Recommendation System with Local Differential PrivacyInternational Conference on Big Data Science and Engineering (ICBDSE), 2021 Seryne Rahali M. Laurent Souha Masmoudi Charles Roux Brice Mazeau 74 7 0 23 Sep 2021
Privacy and Trust Redefined in Federated Machine LearningMachine Learning and Knowledge Extraction (MLKE), 2021 Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 151 46 0 29 Mar 2021