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1805.04049
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Exploiting Unintended Feature Leakage in Collaborative Learning
10 May 2018
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
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Papers citing
"Exploiting Unintended Feature Leakage in Collaborative Learning"
50 / 666 papers shown
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing
J. Troncoso-Pastoriza
Alain Mermoud
Romain Bouyé
Francesco Marino
Jean-Philippe Bossuat
Vincent Lenders
Jean-Pierre Hubaux
147
4
0
06 Sep 2022
Group Property Inference Attacks Against Graph Neural Networks
Conference on Computer and Communications Security (CCS), 2022
Xiuling Wang
Wendy Hui Wang
AAML
282
40
0
02 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory
Conference on Computer and Communications Security (CCS), 2022
Yiyong Liu
Subrat Kishore Dutta
Michael Backes
Yang Zhang
251
147
0
31 Aug 2022
SNAP: Efficient Extraction of Private Properties with Poisoning
Harsh Chaudhari
John Abascal
Alina Oprea
Matthew Jagielski
Florian Tramèr
Jonathan R. Ullman
MIACV
223
37
0
25 Aug 2022
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Haodong Zhao
Wei Du
Fang Li
Peixuan Li
Gongshen Liu
FedML
176
111
0
25 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
211
27
0
22 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge
ACM Computing Surveys (ACM CSUR), 2022
Fan Mo
Zahra Tarkhani
Hamed Haddadi
384
21
0
22 Aug 2022
Inferring Sensitive Attributes from Model Explanations
International Conference on Information and Knowledge Management (CIKM), 2022
Vasisht Duddu
A. Boutet
MIACV
SILM
257
24
0
21 Aug 2022
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
International Middleware Conference (Middleware), 2022
Aghiles Ait Messaoud
Sonia Ben Mokhtar
Vlad Nitu
V. Schiavoni
FedML
292
17
0
11 Aug 2022
Towards Energy-Aware Federated Learning on Battery-Powered Clients
Amna Arouj
A. Abdelmoniem
172
38
0
09 Aug 2022
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization
IEEE Transactions on Automatic Control (TAC), 2022
Yongqiang Wang
Tamer Basar
94
55
0
07 Aug 2022
Verifiable Encodings for Secure Homomorphic Analytics
Sylvain Chatel
Christian Knabenhans
Apostolos Pyrgelis
Carmela Troncoso
Jean-Pierre Hubaux
302
24
0
28 Jul 2022
Privacy-Preserving Federated Recurrent Neural Networks
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Sinem Sav
Abdulrahman Diaa
Apostolos Pyrgelis
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
226
10
0
28 Jul 2022
Reconciling Security and Communication Efficiency in Federated Learning
IEEE Data Engineering Bulletin (DEB), 2022
Karthik Prasad
Sayan Ghosh
Graham Cormode
Ilya Mironov
Ashkan Yousefpour
Pierre Stock
FedML
173
11
0
26 Jul 2022
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment
Tian Liu
Xueyang Hu
Tao Shu
AAML
FedML
136
7
0
25 Jul 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wen-Hsuan Chu
Chulin Xie
Wei Ping
Linyi Li
Lang Yin
Arash Nourian
Hantong Zhao
Yue Liu
FedML
177
13
0
21 Jul 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond
Yuzheng Hu
Tianle Cai
Jinyong Shan
Shange Tang
Chaochao Cai
Ethan Song
Yue Liu
Basel Alomair
FedML
AAML
144
10
0
19 Jul 2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Mingbin Xu
Congzheng Song
Ye Tian
Neha Agrawal
Filip Granqvist
...
Shiyi Han
Yaqiao Deng
Leo Liu
Anmol Walia
Alex Jin
FedML
191
28
0
18 Jul 2022
FLAIR: Federated Learning Annotated Image Repository
Neural Information Processing Systems (NeurIPS), 2022
Congzheng Song
Filip Granqvist
Kunal Talwar
FedML
202
33
0
18 Jul 2022
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Michelle Chen
O. Ohrimenko
FedML
168
15
0
18 Jul 2022
Towards Privacy-Preserving Person Re-identification via Person Identify Shift
Shuguang Dou
Xinyang Jiang
Qingsong Zhao
Dongsheng Li
Cairong Zhao
148
9
0
15 Jul 2022
Enhanced Security and Privacy via Fragmented Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
N. Jebreel
J. Domingo-Ferrer
Alberto Blanco-Justicia
David Sánchez
FedML
230
37
0
13 Jul 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
Anisa Halimi
S. Kadhe
Ambrish Rawat
Nathalie Baracaldo
MU
411
172
0
12 Jul 2022
Federated Learning with Quantum Secure Aggregation
Yichi Zhang
Chao Zhang
Cai Zhang
Lixin Fan
B. Zeng
Qiang Yang
FedML
295
38
0
09 Jul 2022
The Poisson binomial mechanism for secure and private federated learning
Wei-Ning Chen
Ayfer Özgür
Peter Kairouz
FedML
108
3
0
09 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
R. Razavi-Far
AAML
FedML
161
16
0
05 Jul 2022
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model
Xudong Pan
Yifan Yan
Sheng Zhang
Mi Zhang
Min Yang
219
1
0
29 Jun 2022
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain
Jun-Teng Yang
Wen-Yuan Chen
Che-Hua Li
S. Huang
Hsiao-Chun Wu
177
4
0
26 Jun 2022
Data Leakage in Federated Averaging
Dimitar I. Dimitrov
Mislav Balunović
Nikola Konstantinov
Martin Vechev
FedML
280
38
0
24 Jun 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
IEEE International Conference on Computer Vision (ICCV), 2022
Zahra Ghodsi
Mojan Javaheripi
Nojan Sheybani
Xinqiao Zhang
Ke Huang
F. Koushanfar
FedML
382
27
0
24 Jun 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
Kleomenis Katevas
Diego Perino
N. Kourtellis
FedML
187
1
0
22 Jun 2022
Reconstructing Training Data from Trained Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
322
165
0
15 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Nuo Xu
Binghui Wang
Ran Ran
Wujie Wen
Parv Venkitasubramaniam
AAML
229
6
0
11 Jun 2022
Hierarchical Federated Learning with Privacy
BigData Congress [Services Society] (BSS), 2022
Varun Chandrasekaran
Suman Banerjee
Diego Perino
N. Kourtellis
FedML
165
13
0
10 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
USENIX Security Symposium (USENIX Security), 2022
Kai Yue
Richeng Jin
Chau-Wai Wong
D. Baron
H. Dai
FedML
249
66
0
08 Jun 2022
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2022
Sajani Vithana
S. Ulukus
FedML
180
8
0
07 Jun 2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM
Computers & security (Comput. Secur.), 2022
Yuzhe Li
Yong Liu
Yue Liu
Weiping Wang
Nannan Liu
110
14
0
06 Jun 2022
On the Privacy Properties of GAN-generated Samples
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
194
35
0
03 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
298
530
0
01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy?
International Conference on Machine Learning (ICML), 2022
Tian Dong
Bo Zhao
Lingjuan Lyu
DD
352
142
0
01 Jun 2022
Private Federated Submodel Learning with Sparsification
Information Theory Workshop (ITW), 2022
Sajani Vithana
S. Ulukus
FedML
205
11
0
31 May 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
241
12
0
27 May 2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations
Manaar Alam
Esha Sarkar
Michail Maniatakos
AAML
FedML
342
12
0
26 May 2022
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling
Jihang Wang
Dongcheng Zhao
Guobin Shen
Qian Zhang
Yingda Zeng
229
2
0
24 May 2022
Lessons Learned: Defending Against Property Inference Attacks
Joshua Stock
Jens Wettlaufer
Daniel Demmler
Hannes Federrath
AAML
258
1
0
18 May 2022
Recovering Private Text in Federated Learning of Language Models
Neural Information Processing Systems (NeurIPS), 2022
Samyak Gupta
Yangsibo Huang
Zexuan Zhong
Tianyu Gao
Kai Li
Danqi Chen
FedML
275
94
0
17 May 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Dario Pasquini
Mathilde Raynal
Carmela Troncoso
OOD
FedML
280
31
0
17 May 2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Transactions on Data Privacy (TDP), 2022
Balázs Pejó
Mina Remeli
Adam Arany
M. Galtier
G. Ács
191
3
0
13 May 2022
l-Leaks: Membership Inference Attacks with Logits
Shuhao Li
Yajie Wang
Yuan-zhang Li
Yu-an Tan
MIACV
MIALM
280
6
0
13 May 2022
How to Combine Membership-Inference Attacks on Multiple Updated Models
Matthew Jagielski
Stanley Wu
Alina Oprea
Jonathan R. Ullman
Roxana Geambasu
233
10
0
12 May 2022
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