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1908.02997
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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
P. Bertók
I. Khalil
Dongxi Liu
S. Çamtepe
Mohammed Atiquzzaman
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Papers citing
"Local Differential Privacy for Deep Learning"
50 / 69 papers shown
Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
IEEE 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
101
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
126
0
0
30 Oct 2025
Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection
Nges Brian Njungle
Eric Jahns
Luigi Mastromauro
Edwin P. Kayang
Milan Stojkov
Michel Kinsy
177
0
0
11 Oct 2025
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
Peilin He
James Joshi
297
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
243
0
0
16 Jun 2025
PASS: Private Attributes Protection with Stochastic Data Substitution
Yizhuo Chen
Chun-Fu
Chen
Hsiang Hsu
Shaohan Hu
Tarek Abdelzaher
369
1
0
08 Jun 2025
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data
Yan Zhou
Sricharan Kumar
Murat Kantarcioglu
216
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
191
2
0
11 May 2025
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
Linda Scheu-Hachtel
Jasmin Zalonis
226
0
0
09 May 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy
Shun Zhang
Hai Zhu
Zhili Chen
N. Xiong
346
0
0
29 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2025
Bingchen Qian
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
302
6
0
03 Apr 2025
Token-Level Privacy in Large Language Models
Reém Harel
Niv Gilboa
Yuval Pinter
250
0
0
05 Mar 2025
Federated Conversational Recommender System
Allen Lin
Jianling Wang
Ziwei Zhu
James Caverlee
FedML
232
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
407
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
224
0
0
02 Dec 2024
Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks
Tran Viet Khoa
Mohammad Abu Alsheikh
Yibeltal Alem
D. Hoang
FedML
164
4
0
08 Sep 2024
Protecting Privacy in Classifiers by Token Manipulation
Reém Harel
Yair Elboher
Yuval Pinter
237
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
351
9
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
321
6
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
311
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
253
2
0
08 Feb 2024
FedGT: Federated Node Classification with Scalable Graph Transformer
Zaixin Zhang
Qingyong Hu
Yang Yu
Weibo Gao
Qi Liu
FedML
297
7
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
136
7
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
220
73
0
07 Jan 2024
Verification of Neural Networks Local Differential Classification Privacy
International Conference on Verification, Model Checking and Abstract Interpretation (VMCAI), 2023
Roie Reshef
Anan Kabaha
Olga Seleznova
Dana Drachsler-Cohen
AAML
228
3
0
31 Oct 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
SDM (SDM), 2023
Karuna Bhaila
Wen Huang
Yongkai Wu
Xintao Wu
320
12
0
15 Sep 2023
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Héber H. Arcolezi
Sébastien Gambs
421
7
0
04 Sep 2023
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
IEEE Transactions on Automatic Control (TAC), 2023
Ziqin Chen
Yongqiang Wang
323
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
298
2
0
06 Jun 2023
Stochastic Unrolled Federated Learning
Samar Hadou
Navid Naderializadeh
Alejandro Ribeiro
FedML
406
9
0
24 May 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Truc D. T. Nguyen
Phung Lai
K. Tran
Nhathai Phan
My T. Thai
FedML
313
34
0
24 Feb 2023
XRand: Differentially Private Defense against Explanation-Guided Attacks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Truc D. T. Nguyen
Phung Lai
Nhathai Phan
My T. Thai
AAML
SILM
341
22
0
08 Dec 2022
A Systematic Literature Review On Privacy Of Deep Learning Systems
Vishal Jignesh Gandhi
Sanchit Shokeen
Saloni Koshti
PILM
233
2
0
07 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Ngoc Duy Pham
Tran Dang Khoa Phan
A. Abuadbba
Yansong Gao
Doan Nguyen
Naveen Chilamkurti
308
11
0
01 Dec 2022
A Survey on Differential Privacy with Machine Learning and Future Outlook
Samah Baraheem
Z. Yao
SyDa
187
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
228
0
0
01 Nov 2022
Frequency Estimation of Evolving Data Under Local Differential Privacy
International Conference on Extending Database Technology (EDBT), 2022
Héber H. Arcolezi
Carlos Pinzón
C. Palamidessi
Sébastien Gambs
289
17
0
01 Oct 2022
Momentum Gradient Descent Federated Learning with Local Differential Privacy
Mengde Han
Tianqing Zhu
Wanlei Zhou
FedML
233
0
0
28 Sep 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
IEEE 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
326
582
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
382
9
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
281
22
0
20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
404
219
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
149
4
0
06 Apr 2022
Private Non-Convex Federated Learning Without a Trusted Server
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Andrew Lowy
Ali Ghafelebashi
Meisam Razaviyayn
FedML
377
34
0
13 Mar 2022
Quantum Local Differential Privacy and Quantum Statistical Query Model
Armando Angrisani
E. Kashefi
284
19
0
07 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
175
2
0
18 Feb 2022
Local Differential Privacy for Federated Learning
European 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
246
23
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
171
12
0
03 Dec 2021
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
Niklas Hasebrook
T. Dehling
Ali Sunyaev
149
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
230
39
0
08 Nov 2021
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