Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018

Luca Melis

Congzheng Song

Emiliano De Cristofaro

Vitaly Shmatikov

FedML

ArXiv PDF HTML

Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

50 / 633 papers shown

Title
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 55 17 0 26 Sep 2021
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 45 162 0 25 Sep 2021
InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline Emily M. Bender Timnit Gebru Eric Wallace 63 10 0 21 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 40 16 0 20 Sep 2021
Decentralized Wireless Federated Learning with Differential Privacy Shuzhen Chen Dongxiao Yu Yifei Zou Jiguo Yu Xiuzhen Cheng 45 50 0 19 Sep 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Z. Ren Zihan Wang Pengjie Ren Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 26 83 0 16 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 27 79 0 13 Sep 2021
Critical Learning Periods in Federated Learning Gang Yan Hao Wang Jian Li FedML 38 8 0 12 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 245 0 09 Sep 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning Zhifeng Jiang Wen Wang Yang Liu FedML 32 49 0 02 Sep 2021
Personalised Federated Learning: A Combinational Approach Sone Kyaw Pye Han Yu FedML 16 5 0 22 Aug 2021
A Novel Attribute Reconstruction Attack in Federated Learning Lingjuan Lyu Cen Chen AAML 14 38 0 16 Aug 2021
SAFE: Secure Aggregation with Failover and Encryption Thomas Sandholm S. Mukherjee Bernardo A. Huberman FedML 30 6 0 12 Aug 2021
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka Thilanka Munasinghe H. Pasindu 8 3 0 30 Jul 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness Yuwei Sun H. Ochiai Hiroshi Esaki FedML 74 45 0 30 Jul 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 16 35 0 20 Jul 2021
RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data Guang Yang Ke Mu Chunhe Song Zhijia Yang Tierui Gong FedML 18 16 0 19 Jul 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 21 33 0 13 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 23 71 0 04 Jul 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 35 10 0 03 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 21 28 0 30 Jun 2021
Privacy Threats Analysis to Secure Federated Learning Yuchen Li Yifan Bao Liyao Xiang Junhan Liu Cen Chen Li Wang Xinbing Wang FedML 23 7 0 24 Jun 2021
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori R. Caruana Zhiqi Bu J. Shen Janardhan Kulkarni 33 37 0 17 Jun 2021
Privacy-Preserving Eye-tracking Using Deep Learning S. Seyedi Zifan Jiang Allan I. Levey Gari D. Clifford FedML 19 1 0 17 Jun 2021
Federated Learning with Buffered Asynchronous Aggregation John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 33 289 0 11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 15 63 0 10 Jun 2021
Federated Neural Collaborative Filtering V. Perifanis P. Efraimidis FedML 18 92 0 02 Jun 2021
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients Fan Mo Anastasia Borovykh Mohammad Malekzadeh Soteris Demetriou Deniz Gündüz Hamed Haddadi FedML 29 3 0 28 May 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 24 42 0 25 May 2021
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning Reza Nasirigerdeh Reihaneh Torkzadehmahani Julian O. Matschinske Jan Baumbach Daniel Rueckert Georgios Kaissis FedML 33 9 0 21 May 2021
Separation of Powers in Federated Learning P. Cheng Kevin Eykholt Zhongshu Gu Hani Jamjoom K.R. Jayaram Enriquillo Valdez Ashish Verma FedML 26 13 0 19 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 24 7 0 13 May 2021
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness Lingjuan Lyu FedML AAML 27 19 0 11 May 2021
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design Chuan Ma Jun Li Ming Ding Kang Wei Wen Chen H. Vincent Poor FedML 32 28 0 10 May 2021
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 48 10 0 09 May 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 58 101 0 02 May 2021
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
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 39 244 0 29 Apr 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 56 244 0 29 Apr 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 27 33 0 27 Apr 2021
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning Yanjun Zhang Guangdong Bai Xue Li Surya Nepal R. Ko FedML 23 2 0 27 Apr 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk Ali H. Sayed FedML 39 21 0 26 Apr 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 37 10 0 21 Apr 2021
Federated Learning of User Verification Models Without Sharing Embeddings H. Hosseini Hyunsin Park Sungrack Yun Christos Louizos Joseph B. Soriaga Max Welling FedML 30 23 0 18 Apr 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It Trung D. Q. Dang Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Peter Chin Franccoise Beaufays FedML 38 10 0 15 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 460 0 15 Apr 2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent Zhao Wang Yifan Hu Jun Xiao Chao-Xiang Wu AI4CE 24 11 0 15 Apr 2021
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption Jing Ma Si-Ahmed Naas S. Sigg X. Lyu 29 243 0 14 Apr 2021
Towards Causal Federated Learning For Enhanced Robustness and Privacy Sreya Francis Irene Tenison Irina Rish FedML OOD 19 15 0 14 Apr 2021