ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

9 May 2022

Adnan Siraj Rakin

Papers citing "ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning"

29 / 29 papers shown

Title
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 48 0 0 09 May 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 36 0 0 08 Apr 2025
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception Xiaohe Li Haohua Wu Jiahao Li Zide Fan Kaixin Zhang Xinming Li Yunping Ge Xinyu Zhao 32 1 0 25 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 56 2 0 01 Mar 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 86 0 0 24 Feb 2025
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 83 0 0 20 Dec 2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Andrei Semenov Philip Zmushko Alexander Pichugin Aleksandr Beznosikov 93 0 0 16 Dec 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 79 2 0 24 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 45 3 0 23 Oct 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 37 1 0 07 Oct 2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 38 0 0 02 Sep 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning Xiaoyang Xu Mengda Yang Wenzhe Yi Ziang Li Juan Wang Hongxin Hu Yong Zhuang Yaxin Liu AAML 29 4 0 07 May 2024
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning Tanveer Khan Mindaugas Budzys A. Michalas 37 4 0 14 Apr 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 60 9 0 06 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference Dancheng Liu Jinjun Xiong MIACV FedML AAML 40 0 0 19 Jan 2024
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 40 5 0 15 Oct 2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference Kiwan Maeng G. E. Suh 30 2 0 09 Sep 2023
The Model Inversion Eavesdropping Attack in Semantic Communication Systems Yuhao Chen Qianqian Yang Zhiguo Shi Jiming Chen 24 8 0 08 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook Mingyuan Fan Chengyu Wang Cen Chen Yang Liu Jun Huang HILM 39 3 0 31 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 248 0 20 Jul 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 21 8 0 06 May 2023
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference Yuke Zhang Dake Chen Souvik Kundu Haomei Liu Ruiheng Peng P. Beerel 12 8 0 26 Apr 2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks Yunlong Mao Zexi Xin Zhenyu Li Jue Hong Qingyou Yang Sheng Zhong MIACV AAML 28 10 0 19 Apr 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 65 5 0 13 Mar 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 36 5 0 01 Dec 2022
SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks Sunder Ali Khowaja P. Khuwaja K. Dev A. Antonopoulos AAML 22 11 0 21 Nov 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