Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep
Learning

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

18 September 2017

Papers citing "Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning"

18 / 18 papers shown

Title
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses Mohammed Aledhari Rehma Razzak Mohamed Rahouti Abbas Yazdinejad R. Parizi Basheer Qolomany Mohsen Guizani Junaid Qadir Ala I. Al-Fuqaha AAML 165 1 0 06 Feb 2025
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 34 7 0 04 Dec 2022
Differentially Private Counterfactuals via Functional Mechanism Fan Yang Qizhang Feng Kaixiong Zhou Jiahao Chen Xia Hu 32 8 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 25 2 0 26 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 47 104 0 16 May 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 37 88 0 11 Apr 2022
Gradient Leakage Attack Resilient Deep Learning Wenqi Wei Ling Liu SILM PILM AAML 32 48 0 25 Dec 2021
Task-aware Privacy Preservation for Multi-dimensional Data Jiangnan Cheng A. Tang Sandeep P. Chinchali 36 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 50 1 0 22 Sep 2021
The Laplace Mechanism has optimal utility for differential privacy over continuous queries Natasha Fernandes Annabelle McIver Carroll Morgan 31 21 0 15 May 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 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 29 82 0 25 Nov 2020
Data Heterogeneity Differential Privacy: From Theory to Algorithm Yilin Kang Jian Li Yong Liu Weiping Wang 36 1 0 20 Feb 2020
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning Zhiying Xu Shuyu Shi A. Liu Jun Zhao Lin Chen FedML 47 36 0 19 Dec 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning Nhathai Phan My T. Thai Han Hu R. Jin Tong Sun Dejing Dou 37 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 21 9 0 14 Jan 2019
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 27 491 0 19 Feb 2018
Quantifying Differential Privacy under Temporal Correlations Yang Cao Masatoshi Yoshikawa Yonghui Xiao Li Xiong 109 103 0 24 Oct 2016