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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
Protecting Data from all Parties: Combining FHE and DP in Federated Learning
Arnaud Grivet Sébert
Renaud Sirdey
Oana Stan
Cédric Gouy-Pailler
FedML
120
0
0
09 May 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection
IEEE Transactions on Automatic Control (TAC), 2022
Yongqiang Wang
H. Vincent Poor
234
45
0
08 May 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Italian National Conference on Sensors (INS), 2022
Joceline Ziegler
Bjarne Pfitzner
H. Schulz
A. Saalbach
B. Arnrich
FedML
163
20
0
06 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey
Djamila Bouhata
Hamouma Moumen
Moumen Hamouma
Ahcène Bounceur
AI4CE
301
9
0
05 May 2022
Privacy Amplification via Random Participation in Federated Learning
Burak Hasircioglu
Deniz Gunduz
FedML
112
2
0
03 May 2022
Symbolic analysis meets federated learning to enhance malware identifier
ARES (ARES), 2022
Khanh-Huu-The Dam
Charles-Henry Bertrand Van Ouytsel
Axel Legay
FedML
236
7
0
29 Apr 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning
IEEE International Symposium on Reliable Distributed Systems (SRDS), 2022
Jin Xu
Chi Hong
Jiyue Huang
L. Chen
Jérémie Decouchant
AAML
FedML
208
29
0
28 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
269
25
0
26 Apr 2022
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies
Shaltiel Eloul
Fran Silavong
Sanket Kamthe
Antonios Georgiadis
Sean J. Moran
FedML
132
8
0
26 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Proceedings of the VLDB Endowment (PVLDB), 2022
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
487
108
0
11 Apr 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning
Interspeech (Interspeech), 2022
Tiantian Feng
Raghuveer Peri
Shrikanth Narayanan
FedML
175
38
0
05 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Conference on Computer and Communications Security (CCS), 2022
Florian Tramèr
Reza Shokri
Ayrton San Joaquin
Hoang Minh Le
Matthew Jagielski
Sanghyun Hong
Nicholas Carlini
MIACV
374
136
0
31 Mar 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey
IEEE Transactions on Big Data (TBD), 2022
Ziyao Liu
Jiale Guo
Wenzhuo Yang
Jiani Fan
Kwok-Yan Lam
Jun Zhao
FedML
276
128
0
31 Mar 2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Georg Pichler
Marco Romanelli
L. Rey Vega
Pablo Piantanida
FedML
130
13
0
30 Mar 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Computer Vision and Pattern Recognition (CVPR), 2022
Zhuohang Li
Jiaxin Zhang
Lu Liu
Jian-Dong Liu
FedML
264
148
0
29 Mar 2022
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2022
Jayasree Sengupta
Sushmita Ruj
Sipra Das Bit
114
5
0
22 Mar 2022
GradViT: Gradient Inversion of Vision Transformers
Computer Vision and Pattern Recognition (CVPR), 2022
Ali Hatamizadeh
Hongxu Yin
H. Roth
Wenqi Li
Jan Kautz
Daguang Xu
Pavlo Molchanov
ViT
295
81
0
22 Mar 2022
Training a Tokenizer for Free with Private Federated Learning
Eugene Bagdasaryan
Congzheng Song
Rogier van Dalen
M. Seigel
Áine Cahill
FedML
127
5
0
15 Mar 2022
Privatized Graph Federated Learning
EURASIP Journal on Advances in Signal Processing (EURASIP J. Adv. Signal Process.), 2022
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
157
4
0
14 Mar 2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information
Dayong Ye
Tianqing Zhu
Shuai Zhou
B. Liu
Wanlei Zhou
147
4
0
13 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Junlin Liu
Xinchen Lyu
Qimei Cui
Xiaofeng Tao
FedML
249
36
0
10 Mar 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
International Conference on Machine Learning (ICML), 2022
Wei-Ning Chen
Christopher A. Choquette-Choo
Peter Kairouz
A. Suresh
FedML
258
75
0
07 Mar 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
C. Li
Andrea Cavallaro
PICV
182
0
0
05 Mar 2022
Label-Only Model Inversion Attacks via Boundary Repulsion
Computer Vision and Pattern Recognition (CVPR), 2022
Mostafa Kahla
Si-An Chen
H. Just
R. Jia
167
94
0
03 Mar 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
ACM Transactions on Privacy and Security (TOPS), 2022
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
SILM
AAML
139
24
0
01 Mar 2022
Differentially Private Estimation of Heterogeneous Causal Effects
CLEaR (CLEaR), 2022
Fengshi Niu
Harsha Nori
B. Quistorff
R. Caruana
Donald Ngwe
A. Kannan
CML
210
18
0
22 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
M. A. Ramírez
Song-Kyoo Kim
H. A. Hamadi
Ernesto Damiani
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
301
43
0
21 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Proceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
325
69
0
18 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning
Network and Distributed System Security Symposium (NDSS), 2022
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
168
29
0
10 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Shadi Rahimian
Raouf Kerkouche
I. Kurth
Mario Fritz
FedML
114
14
0
08 Feb 2022
Private Read Update Write (PRUW) with Storage Constrained Databases
International Symposium on Information Theory (ISIT), 2022
Sajani Vithana
S. Ulukus
147
13
0
07 Feb 2022
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data
G. Miao
118
0
0
05 Feb 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes
Vasisht Duddu
A. Boutet
148
10
0
04 Feb 2022
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Yifeng Zheng
Shangqi Lai
Yi Liu
Lizhen Qu
X. Yi
Cong Wang
FedML
175
110
0
04 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks
Network and Distributed System Security Symposium (NDSS), 2022
Tianyue Chu
Álvaro García-Recuero
Costas Iordanou
Georgios Smaragdakis
Nikolaos Laoutaris
281
16
0
31 Jan 2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
International Conference on Learning Representations (ICLR), 2022
Liam H. Fowl
Jonas Geiping
Steven Reich
Yuxin Wen
Wojtek Czaja
Micah Goldblum
Tom Goldstein
FedML
295
70
0
29 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
FedML
291
18
0
21 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Information Fusion (Inf. Fusion), 2022
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
209
280
0
20 Jan 2022
Zero-Shot Machine Unlearning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
Mohan S. Kankanhalli
MU
321
172
0
14 Jan 2022
Privacy-aware Early Detection of COVID-19 through Adversarial Training
IEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Omid Rohanian
Samaneh Kouchaki
A. Soltan
Jenny Yang
Morteza Rohanian
Yang Yang
David Clifton
AAML
OOD
151
7
0
09 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Xingyu Li
Zhe Qu
Shangqing Zhao
Bo Tang
Zhuo Lu
Yao-Hong Liu
AAML
210
124
0
08 Jan 2022
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings
Tiantian Feng
H. Hashemi
Rajat Hebbar
M. Annavaram
Shrikanth S. Narayanan
334
30
0
26 Dec 2021
FRuDA: Framework for Distributed Adversarial Domain Adaptation
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Shaoduo Gan
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
196
15
0
26 Dec 2021
Gradient Leakage Attack Resilient Deep Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Wenqi Wei
Ling Liu
SILM
PILM
AAML
178
62
0
25 Dec 2021
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
Conference on Data and Application Security and Privacy (CODASPY), 2021
Ismat Jarin
Birhanu Eshete
AAML
153
13
0
24 Dec 2021
EIFFeL: Ensuring Integrity for Federated Learning
Conference on Computer and Communications Security (CCS), 2021
A. Chowdhury
Chuan Guo
S. Jha
Laurens van der Maaten
FedML
369
99
0
23 Dec 2021
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence
Information Sciences (Inf. Sci.), 2021
V. Perifanis
George Drosatos
Giorgos Stamatelatos
P. Efraimidis
133
71
0
21 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
231
13
0
19 Dec 2021
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
Bingzhe Wu
Zhicong Liang
Yatao Bian
Chaochao Chen
Junzhou Huang
Yuan Yao
114
1
0
14 Dec 2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning
Yifan Hua
Kevin Miller
Andrea L. Bertozzi
Chao Qian
Bao Wang
OOD
FedML
158
23
0
12 Dec 2021
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