More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

5 August 2020

Philip S. Yu

Papers citing "More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence"

38 / 38 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey J. H. Liu Yao Du Kun Yang Yan Wang Xiping Hu Z. Wang Y. Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 31 0 0 03 May 2025
Vertical Federated Unlearning via Backdoor Certification Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 69 2 0 16 Dec 2024
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu FedML MU 27 5 0 18 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Wei Zhao MU 33 1 0 16 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 27 1 0 16 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 27 6 0 10 Jun 2024
Differentially Private GANs for Generating Synthetic Indoor Location Data Vahideh Moghtadaiee Mina Alishahi M. Rabiei 25 0 0 10 Apr 2024
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption Seewoo Lee Garam Lee Jung Woo Kim Junbum Shin Mun-Kyu Lee 17 25 0 21 Mar 2024
GeoLocator: a location-integrated large multimodal model for inferring geo-privacy Yifan Yang Siqin Wang Daoyang Li Yixian Zhang Shuju Sun Junzhou He 18 8 0 21 Nov 2023
Test & Evaluation Best Practices for Machine Learning-Enabled Systems Jaganmohan Chandrasekaran Tyler Cody Nicola McCarthy Erin Lanus Laura J. Freeman 14 5 0 10 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 10 3 0 06 Oct 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 24 6 0 28 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 24 16 0 19 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 21 12 0 19 Sep 2023
Security and Privacy Issues of Federated Learning J. Hasan 11 10 0 22 Jul 2023
Boosting Model Inversion Attacks with Adversarial Examples Shuai Zhou Tianqing Zhu Dayong Ye Xin Yu Wanlei Zhou AAML MIACV 24 17 0 24 Jun 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 26 19 0 06 Jun 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 22 18 0 31 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models Andor Diera N. Lell Aygul Garifullina A. Scherp 10 0 0 07 Dec 2022
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy Dayong Ye Sheng Shen Tianqing Zhu B. Liu Wanlei Zhou MIACV 4 60 0 13 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 29 40 0 18 Feb 2022
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 29 42 0 01 Dec 2021
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks Marlotte Pannekoek G. Spigler FedML 16 26 0 11 Feb 2021
Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges Bin Jiang Jianqiang Li Guanghui Yue H. Song 19 115 0 26 Jan 2021
Differential Advising in Multi-Agent Reinforcement Learning Dayong Ye Tianqing Zhu Zishuo Cheng Wanlei Zhou Philip S. Yu 11 25 0 07 Nov 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security Sheng Shen Tianqing Zhu Di Wu Wei Wang Wanlei Zhou FedML OOD 10 77 0 19 Oct 2020
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks Chi Liu Tianqing Zhu Jun Zhang Wanlei Zhou PICV 11 29 0 27 Aug 2020
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries Dayong Ye Tianqing Zhu Sheng Shen Wanlei Zhou 6 28 0 13 Aug 2020
Correlated Data in Differential Privacy: Definition and Analysis Tao Zhang Tianqing Zhu Renping Liu Wanlei Zhou 6 13 0 01 Aug 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 17 17 0 27 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,143 0 23 Aug 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 730 0 13 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,225 0 30 Nov 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,014 0 29 Nov 2018
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning Hsin-Pai Cheng P. Yu Haojing Hu Feng Yan Shiyu Li Hai Helen Li Yiran Chen FedML 24 23 0 27 Nov 2018
Differentially Private Bayesian Inference for Exponential Families G. Bernstein Daniel Sheldon 26 48 0 06 Sep 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 77 181 0 17 Jul 2012