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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
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III
Aron N. Horvath
Matteo Berchier
Farhad Nooralahzadeh
Ahmed Allam
Michael Krauthammer
FedML
176
4
0
08 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
985
229
0
08 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Knowledge Discovery and Data Mining (KDD), 2023
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
371
32
0
03 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Hui-Po Wang
Dingfan Chen
Raouf Kerkouche
Mario Fritz
FedML
DD
584
6
0
02 Feb 2023
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds
Anastasia Borovykh
N. Kantas
P. Parpas
G. Pavliotis
164
1
0
01 Feb 2023
CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications
IEEE Wireless Communications and Networking Conference (WCNC), 2023
Gaolei Li
Yuanyuan Zhao
Yi Li
115
18
0
01 Feb 2023
Dataset Distillation: A Comprehensive Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
354
168
0
17 Jan 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
221
16
0
16 Jan 2023
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
European Symposium on Security and Privacy (Euro S&P), 2023
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
320
30
0
09 Jan 2023
Model Segmentation for Storage Efficient Private Federated Learning with Top
r
r
r
Sparsification
Annual Conference on Information Sciences and Systems (CISS), 2022
Sajani Vithana
S. Ulukus
FedML
168
5
0
22 Dec 2022
Over-the-Air Federated Learning with Enhanced Privacy
Xiaochan Xue
Moh. Khalid Hasan
Shucheng Yu
Laxima Niure Kandel
Min Song
140
3
0
22 Dec 2022
Differentially Private Decentralized Optimization with Relay Communication
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Luqing Wang
Luyao Guo
Shaofu Yang
Xinli Shi
138
0
0
21 Dec 2022
Rate-Privacy-Storage Tradeoff in Federated Learning with Top
r
r
r
Sparsification
Sajani Vithana
S. Ulukus
FedML
142
5
0
19 Dec 2022
Membership Inference Attacks Against Latent Factor Model
Dazhi Hu
AAML
163
1
0
15 Dec 2022
Holistic risk assessment of inference attacks in machine learning
Yang Yang
SILM
AAML
MIACV
111
2
0
15 Dec 2022
Deep leakage from gradients
Yaqiong Mu
FedML
82
1
0
15 Dec 2022
White-box Inference Attacks against Centralized Machine Learning and Federated Learning
Jing Ge
FedML
64
0
0
15 Dec 2022
Dissecting Distribution Inference
Anshuman Suri
Yifu Lu
Yanjin Chen
David Evans
230
17
0
15 Dec 2022
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy
Proceedings of the VLDB Endowment (PVLDB), 2022
Ergute Bao
Yizheng Zhu
X. Xiao
Yifan Yang
Beng Chin Ooi
B. Tan
Khin Mi Mi Aung
FedML
215
20
0
08 Dec 2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Mohammad Malekzadeh
Deniz Gunduz
AAML
MIACV
145
1
0
08 Dec 2022
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Pengyu Qiu
Xuhong Zhang
S. Ji
Chong Fu
Xing Yang
Ting Wang
FedML
AAML
414
19
0
01 Dec 2022
Decentralized Matrix Factorization with Heterogeneous Differential Privacy
International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022
Wentao Hu
Hui Fang
166
0
0
01 Dec 2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise
International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022
Jie Fu
Zhili Chen
Xiao Han
FedML
204
42
0
29 Nov 2022
Federated Learning Attacks and Defenses: A Survey
Yao Chen
Yijie Gui
Hong Lin
Wensheng Gan
Yongdong Wu
FedML
194
41
0
27 Nov 2022
Data Origin Inference in Machine Learning
Mingxue Xu
Xiang-Yang Li
158
3
0
24 Nov 2022
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
258
22
0
21 Nov 2022
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing
Jie Fu
Zhili Chen
Xinpeng Ling
302
2
0
14 Nov 2022
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna
Gyorgy Dán
150
2
0
08 Nov 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Mauro Conti
Jiaxin Li
S. Picek
MIALM
262
3
0
28 Oct 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses
Ilias Driouich
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
AAML
FedML
277
3
0
28 Oct 2022
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning
Pretom Roy Ovi
Emon Dey
Nirmalya Roy
A. Gangopadhyay
FedML
163
5
0
22 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration
M. A. Ramírez
Sangyoung Yoon
Ernesto Damiani
H. A. Hamadi
C. Ardagna
Nicola Bena
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
240
4
0
20 Oct 2022
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
USENIX Security Symposium (USENIX Security), 2022
Guangsheng Zhang
B. Liu
Huan Tian
Tianqing Zhu
Ming Ding
Wanlei Zhou
PILM
MIACV
287
9
0
20 Oct 2022
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Conference on Computer and Communications Security (CCS), 2022
Jianxin Wei
Ergute Bao
X. Xiao
Yifan Yang
380
29
0
18 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
International Conference on Machine Learning (ICML), 2022
Zhao Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
273
31
0
15 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation
Y. Ben-Itzhak
Helen Mollering
Benny Pinkas
T. Schneider
Ajith Suresh
Oleksandr Tkachenko
S. Vargaftik
Christian Weinert
Hossein Yalame
Avishay Yanai
215
11
0
13 Oct 2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
Han Wu
Zilong Zhao
L. Chen
Aad van Moorsel
FedML
159
12
0
13 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Jiahui Chen
Yi Zhao
Qi Li
Xuewei Feng
Ke Xu
AAML
FedML
313
28
0
08 Oct 2022
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Virat Shejwalkar
Arun Ganesh
Rajiv Mathews
Om Thakkar
Abhradeep Thakurta
182
8
0
04 Oct 2022
TabLeak: Tabular Data Leakage in Federated Learning
International Conference on Machine Learning (ICML), 2022
Mark Vero
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
FedML
175
12
0
04 Oct 2022
Federated Graph-based Networks with Shared Embedding
Tianyi Yu
Pei-Ci Lai
Fei Teng
FedML
155
3
0
03 Oct 2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party
Conference on Computer and Communications Security (CCS), 2022
Lushan Song
Jiaxuan Wang
Zhexuan Wang
Xinyu Tu
Guopeng Lin
Wenqiang Ruan
Haoqi Wu
Wei Han
310
26
0
02 Oct 2022
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning
Reza Nasirigerdeh
Javad Torkzadehmahani
Daniel Rueckert
Georgios Kaissis
204
1
0
30 Sep 2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Sohaib Ahmad
Benjamin Fuller
Kaleel Mahmood
AAML
188
0
0
22 Sep 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
Kiwan Maeng
Chuan Guo
Sanjay Kariyappa
Ed Suh
FedML
246
6
0
21 Sep 2022
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
Xinlin Leng
Chenxu Li
Weifeng Xu
Yuyan Sun
Hongtao Wang
FedML
275
1
0
16 Sep 2022
M^4I: Multi-modal Models Membership Inference
Neural Information Processing Systems (NeurIPS), 2022
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
209
36
0
15 Sep 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Sajani Vithana
S. Ulukus
FedML
204
22
0
09 Sep 2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
Chulin Xie
Zhong Cao
Yunhui Long
Diange Yang
Ding Zhao
Yue Liu
254
9
0
08 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events
Conference on Computer and Communications Security (CCS), 2022
Mohammad Naseri
Yufei Han
Enrico Mariconti
Yun Shen
Gianluca Stringhini
Emiliano De Cristofaro
FedML
226
19
0
07 Sep 2022
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