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Due to respectively limited training data, different entities addressing the same vision task based on certain sensitive images may not train a robust deep network.
Privacy-preserving data mining
Rakesh Agrawal and Ramakrishnan Srikant · 2000
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Privacy preserving data mining
Yehuda Lindell and Benny Pinkas · 2000
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Cryptographic techniques for privacy-preserving data mining
Benny Pinkas · 2002
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Privacy preserving association rule mining in vertically partitioned data
Jaideep Vaidya and Chris Clifton · 2002
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P. Simoncelli · 2004
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Privacy-preserving data publishing: A survey of recent developments
Benjamin C. M. Fung, Ke Wang, Rui Chen, and Philip S. Yu · 2010
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Image quality metrics: PSNR vs. SSIM
Alain Hore and Djemel Ziou · 2010
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Slicing: A new approach for privacy preserving data publishing
Tiancheng Li, Ninghui Li, Jian Zhang, and Ian Molloy · 2010
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Are we ready for autonomous driving? the KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Privacy-preserving trajectory data publishing by local suppression
Rui Chen, Benjamin C.M. Fung, Noman Mohammed, Bipin C. Desai, and Ke Wang · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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A survey of privacy preserving data publishing using generalization and suppression
Yang Xu, Tinghuai Ma, Meili Tang, and Wei Tian · 2014
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Deepdriving: Learning affordance for direct perception in autonomous driving
Chenyi Chen, Ari Seff, Alain Kornhauser, and Jianxiong Xiao · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Understanding deep image representations by inverting them
Aravindh Mahendran and Andrea Vedaldi · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing · 2016
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Logical foundations of privacy-preserving publishing of linked data
Bernardo Cuenca Grau and Egor V. Kostylev · 2016
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MS-Celeb-1M: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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SSD: Single shot multibox detector
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Privacy-preserving visual learning using doubly permuted homomorphic encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M Kitani, and Yoichi Sato · 2017
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Vgan-based image representation learning for privacy-preserving facial expression recognition
Jiawei Chen, Janusz Konrad, and Prakash Ishwar · 2018
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Secure logistic regression based on homomorphic encryption: Design and evaluation
Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia, and Xiaoqian Jiang · 2018
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Deep private-feature extraction
Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Minos Katevas, Hamed Haddadi, and Hamid RR Rabiee · 2018
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Learning to anonymize faces for privacy preserving action detection
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Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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DeepFashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
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Defeating image obfuscation with deep learning
Richard McPherson, Reza Shokri, and Vitaly Shmatikov · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Zhongzheng Ren, Yong Jae Lee, and Michael S Ryoo · 2018
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A hybrid model for identity obfuscation by face replacement
Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, and Bernt Schiele · 2018
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Towards privacy-preserving visual recognition via adversarial training: A pilot study
Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, and Hailin Jin · 2018
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Flexibly fair representation learning by disentanglement
Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A Weis, Kevin Swersky, Toniann Pitassi, and Richard Zemel · 2019
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Tae-hoon Kim, Dongmin Kang, Kari Pulli, and Jonghyun Choi · 2019
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DeepObfuscator: Adversarial training framework for privacy-preserving image classification
Ang Li, Jiayi Guo, Huanrui Yang, and Yiran Chen · 2019
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AnonymousNet: Natural face de-identification with measurable privacy
Tao Li and Lei Lin · 2019
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Microsoft deleted a massive facial recognition database, but it’s not dead
Jordan Pearson · 2019
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Learning privacy preserving encodings through adversarial training
Francesco Pittaluga, Sanjeev Koppal, and Ayan Chakrabarti · 2019
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Mitigating information leakage in image representations: A maximum entropy approach
Proteek Chandan Roy and Vishnu Naresh Boddeti · 2019
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Privacy preserving image-based localization
Pablo Speciale, Johannes L Schonberger, Sing Bing Kang, Sudipta N Sinha, and Marc Pollefeys · 2019
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Privacy-preserving deep visual recognition: An adversarial learning framework and a new dataset
Haotao Wang, Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, and Hailin Jin · 2019
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Adversarial learning of privacy-preserving and task-oriented representations
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, and Ming-Hsuan Yang · 2019
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