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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning
18 September 2017
Nhathai Phan
Xintao Wu
Han Hu
Dejing Dou
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Papers citing
"Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning"
50 / 51 papers shown
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
141
0
0
11 Oct 2025
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Ozer Ozturk
Busra Buyuktanir
Gozde Karatas Baydogmus
Kazim Yildiz
125
1
0
17 Sep 2025
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
Peilin He
James Joshi
229
0
0
30 Jun 2025
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Computers & security (Comput. Secur.), 2025
Mohammed Aledhari
Rehma Razzak
Mohamed Rahouti
Abbas Yazdinejad
R. Parizi
Basheer Qolomany
Mohsen Guizani
Junaid Qadir
Ala I. Al-Fuqaha
AAML
803
7
0
06 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
202
0
0
02 Dec 2024
LLM-PBE: Assessing Data Privacy in Large Language Models
Proceedings of the VLDB Endowment (PVLDB), 2024
Qinbin Li
Junyuan Hong
Chulin Xie
Jeffrey Tan
Rachel Xin
...
Dan Hendrycks
Zinan Lin
Bo Li
Bingsheng He
Dawn Song
ELM
PILM
317
48
0
23 Aug 2024
Unlearnable Examples For Time Series
Yujing Jiang
Jiabo He
S. Erfani
James Bailey
AI4TS
252
3
0
03 Feb 2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
Iker Perez
Jason Wong
Piotr Skalski
Stuart Burrell
Richard Mortier
Derek McAuley
David Sutton
FedML
181
2
0
03 Jan 2024
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Proceedings of the VLDB Endowment (PVLDB), 2023
Jie Fu
Qingqing Ye
Haibo Hu
Zhili Chen
Lulu Wang
Kuncan Wang
Xun Ran
286
25
0
23 Nov 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lea Demelius
Roman Kern
Andreas Trügler
SyDa
FedML
248
35
0
28 Sep 2023
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving
Information Sciences (Inf. Sci.), 2023
Zhiqiang Zhang
Hong Zhu
Meiyi Xie
118
9
0
30 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Mathias Lundteigen Mohus
Jinyue Li
AAML
207
3
0
01 Jun 2023
FairDP: Certified Fairness with Differential Privacy
K. Tran
Ferdinando Fioretto
Issa M. Khalil
My T. Thai
Nhathai Phan
291
0
0
25 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
516
54
0
10 May 2023
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Neural Information Processing Systems (NeurIPS), 2022
Qi Tian
Kun Kuang
Ke Jiang
Furui Liu
Zhihua Wang
Leilei Gan
164
9
0
04 Dec 2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
Neural Information Processing Systems (NeurIPS), 2022
Yi Liu
Ke Sun
Linglong Kong
Bei Jiang
158
7
0
17 Oct 2022
Differentially Private Counterfactuals via Functional Mechanism
Fan Yang
Qizhang Feng
Kaixiong Zhou
Jiahao Chen
Helen Zhou
152
15
0
04 Aug 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
Phung Lai
Han Hu
Nhathai Phan
Ruoming Jin
My T. Thai
An M. Chen
202
2
0
26 Jul 2022
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling
Jihang Wang
Dongcheng Zhao
Guobin Shen
Qian Zhang
Yingda Zeng
235
2
0
24 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
379
150
0
16 May 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Proceedings of the VLDB Endowment (PVLDB), 2022
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
488
110
0
11 Apr 2022
Gradient Leakage Attack Resilient Deep Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Wenqi Wei
Ling Liu
SILM
PILM
AAML
183
63
0
25 Dec 2021
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity
Honglu Jiang
Yifeng Gao
S. M. Sarwar
Luis GarzaPerez
M. Robin
122
11
0
03 Dec 2021
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
Niklas Hasebrook
T. Dehling
Ali Sunyaev
112
6
0
29 Nov 2021
Continual Learning with Differential Privacy
International Conference on Neural Information Processing (ICONIP), 2021
Pradnya Desai
Phung Lai
Nhathai Phan
My T. Thai
109
9
0
11 Oct 2021
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng
A. Tang
Sandeep P. Chinchali
253
7
0
05 Oct 2021
Partial sensitivity analysis in differential privacy
Tamara T. Mueller
Alexander Ziller
Dmitrii Usynin
Moritz Knolle
F. Jungmann
Daniel Rueckert
Georgios Kaissis
261
1
0
22 Sep 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
Qiyiwen Zhang
Zhiqi Bu
Kan Chen
Qi Long
BDL
UQCV
222
12
0
18 Jul 2021
On the Convergence and Calibration of Deep Learning with Differential Privacy
Zhiqi Bu
Hua Wang
Zongyu Dai
Qi Long
349
38
0
15 Jun 2021
The Laplace Mechanism has optimal utility for differential privacy over continuous queries
Logic in Computer Science (LICS), 2021
Natasha Fernandes
Annabelle McIver
Carroll Morgan
213
27
0
15 May 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
339
124
0
02 May 2021
Multi-Party Dual Learning
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Maoguo Gong
Yuan Gao
Yu Xie
A. K. Qin
Ke Pan
Yew-Soon Ong
143
11
0
14 Apr 2021
NegDL: Privacy-Preserving Deep Learning Based on Negative Database
International Conference on Data Intelligence and Security (ICDIS), 2021
Dongdong Zhao
Pingchuan Zhang
Jianwen Xiang
Jing Tian
SyDa
185
1
0
10 Mar 2021
Unlearnable Examples: Making Personal Data Unexploitable
International Conference on Learning Representations (ICLR), 2021
Hanxun Huang
Jiabo He
S. Erfani
James Bailey
Yisen Wang
MIACV
520
234
0
13 Jan 2021
Advancements of federated learning towards privacy preservation: from federated learning to split learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
FedML
168
99
0
25 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook
ACM Computing Surveys (ACM CSUR), 2020
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
282
328
0
24 Nov 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis
Italian National Conference on Sensors (INS), 2020
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
288
103
0
11 Oct 2020
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
445
148
0
25 Apr 2020
Data Heterogeneity Differential Privacy: From Theory to Algorithm
International Conference on Conceptual Structures (ICCS), 2020
Yilin Kang
Jian Li
Yong Liu
Weiping Wang
160
1
0
20 Feb 2020
Secure and Robust Machine Learning for Healthcare: A Survey
IEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
260
444
0
21 Jan 2020
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
IEEE Conference on Computer Communications (INFOCOM), 2019
Zhiying Xu
Shuyu Shi
A. Liu
Jun Zhao
Lin Chen
FedML
154
47
0
19 Dec 2019
Relations among different privacy notions
Allerton Conference on Communication, Control, and Computing (Allerton), 2017
Jun Zhao
141
1
0
02 Nov 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Nhathai Phan
Minh Nhat Vu
Yang Liu
R. Jin
Dejing Dou
Xintao Wu
My T. Thai
AAML
142
56
0
02 Jun 2019
dpUGC: Learn Differentially Private Representation for User Generated Contents
Xuan-Son Vu
Son N. Tran
Lili Jiang
124
13
0
25 Mar 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Nhathai Phan
My T. Thai
Han Hu
R. Jin
Tong Sun
Dejing Dou
389
14
0
23 Mar 2019
LEP-CNN: A Lightweight Edge Device Assisted Privacy-preserving CNN Inference Solution for IoT
Yifan Tian
Jiawei Yuan
Shucheng Yu
Yantian Hou
93
11
0
14 Jan 2019
Towards Efficient and Secure Delivery of Data for Training and Inference with Privacy-Preserving
Juncheng Shen
Juzheng Liu
Yiran Chen
Hai Helen Li
FedML
301
1
0
20 Sep 2018
Security and Privacy Issues in Deep Learning
Ho Bae
Jaehee Jang
Dahuin Jung
Hyemi Jang
Heonseok Ha
Hyungyu Lee
Sungroh Yoon
SILM
MIACV
320
87
0
31 Jul 2018
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
227
557
0
19 Feb 2018
Differentially Private Releasing via Deep Generative Model (Technical Report)
Xinyang Zhang
S. Ji
Ting Wang
SyDa
233
73
0
05 Jan 2018
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