Label Leakage and Protection in Two-party Split Learning

17 February 2021

Xin Yang

Papers citing "Label Leakage and Protection in Two-party Split Learning"

26 / 26 papers shown

Title
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 43 0 0 09 May 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yong-Jin Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 77 0 0 30 Apr 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 46 0 0 14 Apr 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 48 2 0 11 Jan 2025
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 138 0 0 15 Oct 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning Marco Arazzi S. Nicolazzo Antonino Nocera FedML AAML 41 3 0 18 Apr 2024
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 24 12 0 15 May 2023
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 16 7 0 28 Mar 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection Ege Erdogan Unat Teksen Mehmet Salih Celiktenyildiz Alptekin Kupcu A. E. Cicek 46 4 0 16 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 35 0 0 04 Feb 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Lixin Fan Qiang Yang FedML 36 13 0 30 Jan 2023
Label Inference Attack against Split Learning under Regression Setting Shangyu Xie Xin Yang Yuanshun Yao Tianyi Liu Taiqing Wang Jiankai Sun FedML 26 9 0 18 Jan 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 27 7 0 01 Jan 2023
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 57 161 0 23 Nov 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning Peng Ye Zhifeng Jiang Wei Wang Bo-wen Li Baochun Li AAML FedML 37 15 0 13 Oct 2022
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
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 21 59 0 16 Jun 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 29 26 0 10 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 36 37 0 02 Mar 2022
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability Yan Kang Yang Liu Yuezhou Wu Guoqiang Ma Qiang Yang 11 39 0 22 Nov 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek FedML MIACV 35 77 0 20 Aug 2021
Vertical Federated Learning without Revealing Intersection Membership Jiankai Sun Xin Yang Yuanshun Yao Aonan Zhang Weihao Gao Junyuan Xie Chong-Jun Wang FedML 23 37 0 10 Jun 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 144 420 0 29 Nov 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018