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Privacy Preserving Vertical Federated Learning for Tree-based Models

Privacy Preserving Vertical Federated Learning for Tree-based Models

14 August 2020
Yuncheng Wu
Shaofeng Cai
Xiaokui Xiao
Gang Chen
Beng Chin Ooi
    FedML
ArXivPDFHTML

Papers citing "Privacy Preserving Vertical Federated Learning for Tree-based Models"

34 / 34 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
35
0
0
05 May 2025
Feature Inference Attack on Shapley Values
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAML
FAtt
46
19
0
16 Jul 2024
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Ziyao Ren
Yan Kang
Lixin Fan
Linghua Yang
Yongxin Tong
Qiang Yang
FedML
50
3
0
20 Jul 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for
  Gradient Boosted Decision Tables
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables
Yifeng Zheng
Shuangqing Xu
Songlei Wang
Yan Gao
Zhongyun Hua
FedML
28
10
0
22 May 2023
Federated Learning over Harmonized Data Silos
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
23
2
0
15 May 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected
  Quitting of Parties
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Jingwei Sun
Zhixu Du
Anna Dai
Saleh Baghersalimi
Alireza Amirshahi
David Atienza
Yiran Chen
FedML
21
8
0
28 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
48
0
21 Feb 2023
Vertical Federated Knowledge Transfer via Representation Distillation
  for Healthcare Collaboration Networks
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chung-ju Huang
Leye Wang
Xiao Han
FedML
35
24
0
11 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
49
10
0
03 Feb 2023
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
55
10
0
01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
64
162
0
23 Nov 2022
Vertical Federated Linear Contextual Bandits
Vertical Federated Linear Contextual Bandits
Zeyu Cao
Zhipeng Liang
Shu Zhen Zhang
Hang Li
Ouyang Wen
Yu Rong
P. Zhao
Bing Wu
FedML
27
0
0
20 Oct 2022
Practical Vertical Federated Learning with Unsupervised Representation
  Learning
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu
Yue Liu
Bingsheng He
FedML
40
38
0
13 Aug 2022
Differentially Private Vertical Federated Clustering
Differentially Private Vertical Federated Clustering
Zitao Li
Tianhao Wang
Ninghui Li
FedML
36
18
0
02 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Bin Cui
FedML
32
21
0
29 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source
  Frameworks
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Bo-wen Li
D. Song
FedML
32
8
0
21 Jul 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
42
16
0
20 Jul 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your
  Data
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Fangcheng Fu
Huanran Xue
Yong Cheng
Yangyu Tao
Bin Cui
FedML
26
59
0
16 Jun 2022
The Metaverse Data Deluge: What Can We Do About It?
The Metaverse Data Deluge: What Can We Do About It?
Beng Chin Ooi
Gang Chen
Mike Zheng Shou
K. Tan
A. Tung
X. Xiao
J. Yip
Meihui Zhang
31
10
0
14 Jun 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive
  Adversarial Learning
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi
Fangzhao Wu
Chuhan Wu
Lingjuan Lyu
Tongye Xu
Zhongliang Yang
Yongfeng Huang
Xing Xie
FedML
39
36
0
07 Jun 2022
A Vertical Federated Learning Method For Multi-Institutional Credit
  Scoring: MICS
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
31
5
0
17 Nov 2021
DVFL: A Vertical Federated Learning Method for Dynamic Data
DVFL: A Vertical Federated Learning Method for Dynamic Data
Yuzhi Liang
Yixiang Chen
FedML
31
1
0
05 Nov 2021
Secure Machine Learning over Relational Data
Secure Machine Learning over Relational Data
Qiyao Luo
Yilei Wang
Zhenghang Ren
K. Yi
Kai Chen
Xiao Wang
32
4
0
30 Sep 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and
  Horizontal Data Partitioning
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
13
19
0
19 Aug 2021
Aegis: A Trusted, Automatic and Accurate Verification Framework for
  Vertical Federated Learning
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
Cengguang Zhang
Junxue Zhang
Di Chai
Kai Chen
FedML
19
5
0
16 Aug 2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning without Revealing Intersection Membership
Jiankai Sun
Xin Yang
Yuanshun Yao
Aonan Zhang
Weihao Gao
Junyuan Xie
Chong-Jun Wang
FedML
31
37
0
10 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation
A Fusion-Denoising Attack on InstaHide with Data Augmentation
Xinjian Luo
X. Xiao
Yuncheng Wu
Juncheng Liu
Beng Chin Ooi
FedML
PICV
52
7
0
17 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes
Privacy-Preserving Federated Learning on Partitioned Attributes
Shuang Zhang
Liyao Xiang
Xi Yu
Pengzhi Chu
Yingqi Chen
Chen Cen
L. Wang
FedML
25
2
0
29 Apr 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Sylvain Chatel
Apostolos Pyrgelis
J. Troncoso-Pastoriza
Jean-Pierre Hubaux
17
14
0
16 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
101
955
0
03 Feb 2021
FederBoost: Private Federated Learning for GBDT
FederBoost: Private Federated Learning for GBDT
Zhihua Tian
Rui Zhang
Xiaoyang Hou
Jian-wei Liu
K. Ren
Jian Liu
Kui Ren
FedML
AI4CE
47
66
0
05 Nov 2020
Feature Inference Attack on Model Predictions in Vertical Federated
  Learning
Feature Inference Attack on Model Predictions in Vertical Federated Learning
Xinjian Luo
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
FedML
AAML
11
219
0
20 Oct 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
75
25
0
27 Apr 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,033
0
29 Nov 2018
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