Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.08504
Cited By
v1
v2
v3 (latest)
Label Leakage and Protection in Two-party Split Learning
International Conference on Learning Representations (ICLR), 2021
17 February 2021
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Label Leakage and Protection in Two-party Split Learning"
50 / 88 papers shown
Differentially private federated learning for localized control of infectious disease dynamics
Raouf Kerkouche
Henrik Zunker
Mario Fritz
Martin J. Kühn
52
0
0
17 Sep 2025
Oops!... They Stole it Again: Attacks on Split Learning
Tanveer Khan
A. Michalas
151
0
0
14 Aug 2025
Label Inference Attacks against Federated Unlearning
Wei Wang
Xiangyun Tang
Y. Wang
Yijing Lin
Tao Zhang
Meng Shen
Dusit Niyato
Liehuang Zhu
183
1
0
09 Aug 2025
VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs
Zixuan Gu
Qiufeng Fan
Long Sun
Yang Liu
Xiaojun Ye
143
2
0
05 Aug 2025
P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices
International Conference on Computer Communications and Networks (ICCCN), 2025
Wei Fan
JinYi Yoon
Xiaochang Li
Huajie Shao
Bo Ji
199
1
0
23 Jul 2025
VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning
Juntao Tan
Anran Li
Quanchao Liu
Peng Ran
Lan Zhang
AAML
180
0
0
19 Jul 2025
VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
Juntao Tan
L. Zhang
Zhonghao Hu
Kai Yang
Peng Ran
Bo Li
AAML
FedML
175
0
0
19 Jul 2025
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning
Zeyu Yan
Yifei Yao
Xuanbing Wen
Shixiong Zhang
Juli Zhang
Kai Fan
AAML
333
0
0
07 Jun 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
Yuanzhe Peng
Jieming Bian
Lei Wang
Yin Huang
Jie Xu
211
1
0
27 May 2025
Privacy Preserving Conversion Modeling in Data Clean Room
ACM Conference on Recommender Systems (RecSys), 2024
Kungang Li
Xiangyi Chen
Ling Leng
Jiajing Xu
Jiankai Sun
Behnam Rezaei
239
3
0
20 May 2025
A Taxonomy of Attacks and Defenses in Split Learning
Aqsa Shabbir
Halil Ibrahim Kanpak
Alptekin Küpçü
Sinem Sav
460
1
0
09 May 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees
Bokang Zhang
Zhikun Zhang
Haodong Jiang
Wenshu Fan
Lihao Zheng
Yuxiao Zhou
Shuaiting Huang
Junfeng Wu
FedML
344
0
0
30 Apr 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
Ruijun Deng
Zhihui Lu
Qiang Duan
Shijing Hu
FedML
405
1
0
14 Apr 2025
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning
Zilong Zhao
Han Wu
Aad van Moorsel
L. Chen
FedML
351
5
0
17 Feb 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
Network and Distributed System Security Symposium (NDSS), 2025
Phillip Rieger
Alessandro Pegoraro
Kavita Kumari
Tigist Abera
Jonathan Knauer
A. Sadeghi
AAML
436
5
0
11 Jan 2025
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben
Mohamed Ali Souibgui
Rubèn Pérez Tito
Khanh Nguyen
Raouf Kerkouche
...
Josep Lladós
Ernest Valveny
Antti Honkela
Mario Fritz
Dimosthenis Karatzas
FedML
380
2
0
06 Nov 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Jirui Yang
Peng Chen
Zhihui Lu
Ruijun Deng
Qiang Duan
Jianping Zeng
AAML
FedML
923
1
0
15 Oct 2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation
Yukun Jiang
Peiran Wang
Chengguo Lin
Ziyue Huang
Yong Cheng
290
3
0
11 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study
Hangyu Zhu
Liyuan Huang
Zhenping Xie
FedML
263
3
0
28 Sep 2024
A Hybrid Quantum Neural Network for Split Learning
Quantum Machine Intelligence (QMI), 2024
Hevish Cowlessur
Chandra Thapa
T. Alpcan
S. Çamtepe
295
7
0
25 Sep 2024
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning
Dixi Yao
212
0
0
13 Sep 2024
S
2
S^2
S
2
NeRF: Privacy-preserving Training Framework for NeRF
Conference on Computer and Communications Security (CCS), 2024
Bokang Zhang
Yanglin Zhang
Zhikun Zhang
Jinglan Yang
Lingying Huang
Junfeng Wu
285
3
0
03 Sep 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix
Yang Jin
Sihun Baek
Lei Zhang
Hyelin Nam
Praneeth Vepakomma
Ramesh Raskar
Mehdi Bennis
Seong-Lyun Kim
273
6
0
02 Aug 2024
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
Linh Tran
Sanjay Chari
Md. Saikat Islam Khan
Aaron Zachariah
Stacy Patterson
Oshani Seneviratne
FedML
207
4
0
09 Jul 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
Linlin Wang
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
241
3
0
16 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Hanlin Gu
Jiahuan Luo
Weijing Chen
Yuan Yao
Gongxi Zhu
Bowen Li Jie Li
Lixin Fan
Qiang Yang
250
1
0
03 Jun 2024
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
Ying He
Mingyang Niu
Jingyu Hua
Yunlong Mao
Xu Huang
Chen Li
Sheng Zhong
FedML
264
3
0
27 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
327
22
0
25 May 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
Marco Arazzi
S. Nicolazzo
Antonino Nocera
FedML
AAML
238
8
0
18 Apr 2024
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Tanveer Khan
Mindaugas Budzys
Khoa Nguyen
A. Michalas
157
3
0
06 Mar 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
Lei Yu
Meng Han
Yiming Li
Changting Lin
Yao Zhang
...
Yan Liu
Haiqin Weng
Yuseok Jeon
Ka-Ho Chow
Stacy Patterson
FedML
302
9
0
06 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning
M. Hayashitani
Junki Mori
Isamu Teranishi
FedML
381
2
0
01 Feb 2024
MP-SL: Multihop Parallel Split Learning
Joana Tirana
S. Lalis
Dimitris Chatzopoulos
243
4
0
31 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Hideaki Takahashi
SILM
277
2
0
29 Dec 2023
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
H. Hong
Yooshin Cho
Hanbyel Cho
Jaesung Ahn
Junmo Kim
134
3
0
19 Dec 2023
Privacy-Aware Document Visual Question Answering
IEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Rubèn Pérez Tito
Khanh Nguyen
Marlon Tobaben
Raouf Kerkouche
Mohamed Ali Souibgui
...
Lei Kang
Ernest Valveny
Antti Honkela
Mario Fritz
Dimosthenis Karatzas
226
16
0
15 Dec 2023
Optimal Unbiased Randomizers for Regression with Label Differential Privacy
Neural Information Processing Systems (NeurIPS), 2023
Ashwinkumar Badanidiyuru
Badih Ghazi
Pritish Kamath
Ravi Kumar
Ethan Leeman
Pasin Manurangsi
A. Varadarajan
Chiyuan Zhang
408
6
0
09 Dec 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization
Network and Distributed System Security Symposium (NDSS), 2023
Xiaochen Zhu
Xinjian Luo
Yuncheng Wu
Yangfan Jiang
Xiaokui Xiao
Beng Chin Ooi
FedML
352
11
0
16 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
Tianyuan Zou
Zixuan Gu
Yuanqin He
Hideaki Takahashi
Yang Liu
Ya-Qin Zhang
FedML
276
15
0
15 Oct 2023
Split Unlearning
Guangsheng Yu
Xu Wang
Caijun Sun
Xu Wang
Baihe Ma
Caijun Sun
Wei Ni
Ren Ping Liu
MU
355
7
0
21 Aug 2023
Defending Label Inference Attacks in Split Learning under Regression Setting
Haoze Qiu
Fei Zheng
Chaochao Chen
Xiaolin Zheng
FedML
AAML
152
4
0
18 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi
Mauro Conti
Stefanos Koffas
Marina Krček
Antonino Nocera
S. Picek
Jing Xu
FedML
AAML
285
2
0
04 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook
International Journal of Computer Vision (IJCV), 2023
Mingyuan Fan
Chengyu Wang
Cen Chen
Yang Liu
Jun Huang
HILM
324
14
0
31 Jul 2023
Eliminating Label Leakage in Tree-Based Vertical Federated Learning
Hideaki Takahashi
Qingbin Liu
Yang Liu
AAML
FedML
290
6
0
19 Jul 2023
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks
Aysha Thahsin Zahir Ismail
R. Shukla
AAML
FedML
204
7
0
04 Jul 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Tengfei Ma
T. Hoang
Jie Chen
FedML
157
8
0
02 Jun 2023
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information
Lin Duan
Jingwei Sun
Yiran Chen
M. Gorlatova
148
5
0
17 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Penghui Wei
Hongjian Dou
Shaoguo Liu
Rong Tang
Li Liu
Liangji Wang
Bo Zheng
FedML
196
16
0
15 May 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Computers & security (Comput. Secur.), 2023
Peng Chen
Xin Du
Zhihui Lu
Hongfeng Chai
FedML
AAML
179
19
0
22 Apr 2023
A Survey on Vertical Federated Learning: From a Layered Perspective
Liu Yang
Di Chai
Junxue Zhang
Yilun Jin
Leye Wang
Hao Liu
Han Tian
Qian Xu
Kai Chen
FedML
250
41
0
04 Apr 2023
1
2
Next
Page 1 of 2
