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Unleashing the Tiger: Inference Attacks on Split Learning

4 December 2020

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Papers citing "Unleashing the Tiger: Inference Attacks on Split Learning"

23 / 73 papers shown

Title
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 72 4 0 18 Jan 2023
Security Analysis of SplitFed Learning M. A. Khan Virat Shejwalkar Amir Houmansadr Fatima M. Anwar FedML 89 11 0 04 Dec 2022
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning Pengyu Qiu Xuhong Zhang S. Ji Chong Fu Xing Yang Ting Wang FedML AAML 136 13 0 01 Dec 2022
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference Linshan Jiang Qun Song Rui Tan Mo Li 67 5 0 12 Nov 2022
Protecting Split Learning by Potential Energy Loss Fei Zheng Chaochao Chen Lingjuan Lyu Xinyi Fu Xing Fu Weiqiang Wang Xiaolin Zheng Jianwei Yin 92 4 0 18 Oct 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa Ed Suh FedML 103 6 0 21 Sep 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 82 9 0 22 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 69 3 0 04 Aug 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 76 62 0 20 Jul 2022
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms Michelle Chen O. Ohrimenko FedML 72 12 0 18 Jul 2022
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction Ngoc Duy Pham A. Abuadbba Yansong Gao K. Phan Naveen Chilamkurti 59 36 0 10 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 77 6 0 07 Jun 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Zhezhi He Deliang Fan C. Chakrabarti 69 60 0 09 May 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 101 20 0 07 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 102 24 0 07 Apr 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 88 27 0 10 Mar 2022
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption George-Liviu Pereteanu A. Alansary Jonathan Passerat-Palmbach FedML 72 21 0 27 Feb 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 79 13 0 21 Jan 2022
Feature Space Hijacking Attacks against Differentially Private Split Learning Grzegorz Gawron P. Stubbings AAML 63 20 0 11 Jan 2022
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 96 27 0 02 Dec 2021
Formalizing and Estimating Distribution Inference Risks Anshuman Suri David Evans MIACV 110 52 0 13 Sep 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek AAML 70 34 0 20 Aug 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek FedML MIACV 77 79 0 20 Aug 2021