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Learning to Succeed while Teaching to Fail: Privacy in Closed Machine
  Learning Systems

Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems

23 May 2017
Jure Sokolić
Qiang Qiu
M. Rodrigues
Guillermo Sapiro
    FedML
ArXivPDFHTML

Papers citing "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems"

2 / 2 papers shown
Title
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias
  in Deep Image Representations
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang
Jieyu Zhao
Mark Yatskar
Kai-Wei Chang
Vicente Ordonez
FaML
34
17
0
20 Nov 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training:
  A Pilot Study
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
Zhenyu Wu
Zhangyang Wang
Zhaowen Wang
Hailin Jin
AAML
PICV
33
153
0
22 Jul 2018
1