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Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

24 February 2017
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
    FedML
ArXivPDFHTML

Papers citing "Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning"

12 / 362 papers shown
Title
Deep Learning Towards Mobile Applications
Deep Learning Towards Mobile Applications
Ji Wang
Bokai Cao
Philip S. Yu
Lichao Sun
Weidong Bao
Xiaomin Zhu
HAI
32
98
0
10 Sep 2018
Mitigating Sybils in Federated Learning Poisoning
Mitigating Sybils in Federated Learning Poisoning
Clement Fung
Chris J. M. Yoon
Ivan Beschastnikh
AAML
15
497
0
14 Aug 2018
Performing Co-Membership Attacks Against Deep Generative Models
Performing Co-Membership Attacks Against Deep Generative Models
Kin Sum Liu
Chaowei Xiao
Bo-wen Li
Jie Gao
AAML
MIACV
24
58
0
24 May 2018
Towards Robust and Privacy-preserving Text Representations
Towards Robust and Privacy-preserving Text Representations
Yitong Li
Timothy Baldwin
Trevor Cohn
19
165
0
16 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in
  Federated Learning
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICV
FedML
359
37
0
15 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
87
1,455
0
10 May 2018
Autonomous Intelligent Cyber-defense Agent (AICA) Reference
  Architecture. Release 2.0
Autonomous Intelligent Cyber-defense Agent (AICA) Reference Architecture. Release 2.0
Alexander Kott
Paul Théron
Martin Dravsar
Edlira Dushku
Benoît Leblanc
...
L. Mancini
Agostino Panico
Mauno Pihelgas
Krzysztof Rzadca
Fabio De Gaspari
13
30
0
28 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
47
1,306
0
12 Mar 2018
Generating Artificial Data for Private Deep Learning
Generating Artificial Data for Private Deep Learning
Aleksei Triastcyn
Boi Faltings
21
48
0
08 Mar 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
24
491
0
19 Feb 2018
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
30
246
0
01 Sep 2017
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy
  Properties of Dropout
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
Prateek Jain
Vivek Kulkarni
Abhradeep Thakurta
Oliver Williams
52
30
0
06 Mar 2015
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