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Recent advances in computing have allowed for the possibility to collect large amounts of data on personal activities and private living spaces.
The privacy bootstrap
R. J. Bowden and A. B. Sim · 1992
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Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Achieving k k -anonymity privacy protection using generalization and suppression
L. Sweeney · 2002
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Privacy preserving data classification with rotation perturbation
K. Chen and L. Liu · 2005
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Differential privacy
C. Dwork · 2006
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A tree-based data perturbation approach for privacy-preserving data mining
X.-B. Li and S. Sarkar · 2006
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Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
K. Liu, H. Kargupta, and J. Ryan · 2006
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Sensing meets mobile social networks: The design, implementation and evaluation of the CenceMe application
E. Miluzzo, N. D. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. B. Eisenman, X. Zheng, and A. T. Campbell · 2008
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Inferring friendship network structure by using mobile phone data
N. Eagle, A. S. Pentland, and D. Lazer · 2009
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Attribute and simile classifiers for face verification
N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar · 2009
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The jigsaw continuous sensing engine for mobile phone applications
H. Lu, J. Yang, Z. Liu, N. D. Lane, T. Choudhury, and A. T. Campbell · 2010
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Human mobility, social ties, and link prediction
D. Wang, D. Pedreschi, C. Song, F. Giannotti, and A.-L. Barabasi · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Cloud-enabled privacy-preserving collaborative learning for mobile sensing
B. Liu, Y. Jiang, F. Sha, and R. Govindan · 2012
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Discriminately decreasing discriminability with learned image filters
J. Whitehill and J. Movellan · 2012
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Unique in the crowd: The privacy bounds of human mobility
Y.-A. De Montjoye, C. A. Hidalgo, M. Verleysen, and V. D. Blondel · 2013
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Using unlabeled wi-fi scan data to discover occupancy patterns of private households
W. Kleiminger, C. Beckel, A. K. Dey, and S. Santini · 2013
Cited alongside, same era.
Crowd++: Unsupervised speaker count with smartphones
C. Xu, S. Li, G. Liu, Y. Zhang, E. Miluzzo, Y.-F. Chen, J. Li, and B. Firner · 2013
Cited alongside, same era.
The algorithmic foundations of differential privacy
C. Dwork and A. Roth · 2014
Cited alongside, same era.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Cited alongside, same era.
Pufferfish: A framework for mathematical privacy definitions
D. Kifer and A. Machanavajjhala · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
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Context-aware generative adversarial privacy
C. Huang, P. Kairouz, X. Chen, L. Sankar, and R. Rajagopal · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Real-time fine grained occupancy estimation using depth sensors on ARM embedded platforms
S. Munir, R. S. Arora, C. Hesling, J. Li, J. Francis, C. Shelton, C. Martin, A. Rowe, and M. Berges · 2017
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Shufflenet: An extremely efficient convolutional neural network for mobile devices
X. Zhang, X. Zhou, M. Lin, and J. Sun · 2017
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K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Ujiindoorloc: A new multi-building and multi-floor database for wlan fingerprint-based indoor localization problems
J. Torres-Sospedra, R. Montoliu, A. Martínez-Usó, J. P. Avariento, T. J. Arnau, M. Benedito-Bordonau, and J. Huerta · 2014
Cited alongside, same era.
Smart meter data analytics: Prediction of enrollment in residential energy efficiency programs
M. Zeifman · 2014
Cited alongside, same era.
Censoring representations with an adversary
H. Edwards and A. Storkey · 2015
Cited alongside, same era.
Privacy-preserving deep learning
R. Shokri and V. Shmatikov · 2015
Cited alongside, same era.
Deep learning with differential privacy
M. Abadi, A. Chu, I. Goodfellow, H. B. McMahan, I. Mironov, K. Talwar, and L. Zhang · 2016
Cited alongside, same era.
Federated learning: Strategies for improving communication efficiency
J. Konečnỳ, H. B. McMahan, F. X. Yu, P. Richtárik, A. T. Suresh, and D. Bacon · 2016
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le · 2017
Later among the works it cites.
Adversarial attacks on face detectors using neural net based constrained optimization
A. J. Bose and P. Aarabi · 2018
Closest in time.
M. Sandler, A. G. Howard, M. Zhu, A. Zhmoginov, and L. Chen · 2018
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Generating adversarial examples with adversarial networks
C. Xiao, B. Li, J.-Y. Zhu, W. He, M. Liu, and D. Song · 2018
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Benchmarking tensorflow and tensorflow lite on the raspberry pi
A. Allan · 2019
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Adversarially learned representations for information obfuscation and inference
M. Bertran, N. Martinez, A. Papadaki, Q. Qiu, M. Rodrigues, G. Reeves, and G. Sapiro · 2019
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Dataset: Inferring thermal comfort using body shape information utilizing depth sensors
S. Munir, J. Francis, M. Quintana, N. V. Frankenberg, and M. Berges · 2019
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Jetson nano: Deep learning inference benchmarks, 2019
Nvidia · 2019
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Olympus: sensor privacy through utility aware obfuscation
N. Raval, A. Machanavajjhala, and J. Pan · 2019
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A. Boutet, C. Frindel, S. Gambs, T. Jourdan, and C. R. Ngueveu · 2020
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Shredder: Learning noise distributions to protect inference privacy
F. Mireshghallah, M. Taram, P. Ramrakhyani, A. Jalali, D. Tullsen, and H. Esmaeilzadeh · 2020
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