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2112.02918
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When the Curious Abandon Honesty: Federated Learning Is Not Private
European Symposium on Security and Privacy (EuroS&P), 2021
6 December 2021
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
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Papers citing
"When the Curious Abandon Honesty: Federated Learning Is Not Private"
19 / 119 papers shown
Hierarchical Federated Learning with Privacy
BigData Congress [Services Society] (BSS), 2022
Varun Chandrasekaran
Suman Banerjee
Diego Perino
N. Kourtellis
FedML
171
14
0
10 Jun 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
Sikha Pentyala
Nicola Neophytou
A. Nascimento
Martine De Cock
G. Farnadi
198
23
0
23 May 2022
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
Harsh Chaudhari
Matthew Jagielski
Alina Oprea
225
7
0
20 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
95
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
281
32
0
17 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
237
7
0
29 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
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
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
Gorka Abad
Servio Paguada
Oguzhan Ersoy
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
FedML
187
9
0
16 Mar 2022
FLAME: Federated Learning Across Multi-device Environments
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2022
Hyunsung Cho
Akhil Mathur
F. Kawsar
200
27
0
17 Feb 2022
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification
Proceedings of the VLDB Endowment (PVLDB), 2022
Fumiyuki Kato
Yang Cao
Masatoshi Yoshikawa
FedML
218
8
0
15 Feb 2022
Preserving Privacy and Security in Federated Learning
IEEE/ACM Transactions on Networking (TON), 2022
Truc D. T. Nguyen
My T. Thai
FedML
136
77
0
07 Feb 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
Models of fairness in federated learning
Kate Donahue
Jon M. Kleinberg
FedML
446
12
0
01 Dec 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Conference on Computer and Communications Security (CCS), 2021
Dario Pasquini
Danilo Francati
G. Ateniese
FedML
564
134
0
14 Nov 2021
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H. Fowl
Jonas Geiping
W. Czaja
Micah Goldblum
Tom Goldstein
FedML
370
169
0
25 Oct 2021
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama
Lukas Burkhalter
Alexander Viand
Nicolas Küchler
Anwar Hithnawi
FedML
314
92
0
07 Jul 2021
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
IEEE Open Journal of the Computer Society (JOCS), 2021
A. Qayyum
Kashif Ahmad
Muhammad Ahtazaz Ahsan
Ala I. Al-Fuqaha
Junaid Qadir
FedML
235
241
0
19 Jan 2021
Paralinguistic Privacy Protection at the Edge
Ranya Aloufi
Hamed Haddadi
David E. Boyle
242
15
0
04 Nov 2020
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