Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

22 July 2018

Papers citing "Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study"

24 / 74 papers shown

Title
Adversarial representation learning for synthetic replacement of private attributes John Martinsson Edvin Listo Zec D. Gillblad Olof Mogren PICV 6 8 0 14 Jun 2020
Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition Prithviraj Dhar Joshua Gleason Hossein Souri Carlos D. Castillo Rama Chellappa FaML CVBM 42 12 0 14 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy Sicong Liu Junzhao Du Anshumali Shrivastava Lin Zhong 36 14 0 08 Jun 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Ang Li Yixiao Duan Huanrui Yang Yiran Chen Jianlei Yang 8 50 0 23 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 11 135 0 25 Apr 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition S. Bian Tianchen Wang Masayuki Hiromoto Yiyu Shi Takashi Sato FedML 11 30 0 11 Mar 2020
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition Vansh Narula Zhangyang Wang Wang Theodora Chaspari PICV 6 3 0 16 Jan 2020
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure Haojie Guo Brian Dolhansky Eric Hsin Phong Dinh Cristian Canton Ferrer Song Wang FedML 20 2 0 14 Dec 2019
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification Ye Yuan Wuyang Chen Tianlong Chen Yang Yang Zhou Ren Zhangyang Wang G. Hua 23 30 0 26 Nov 2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 21 75 0 22 Nov 2019
Obfuscation via Information Density Estimation Hsiang Hsu S. Asoodeh Flavio du Pin Calmon 15 12 0 17 Oct 2019
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones Ang Li Jiayi Guo Huanrui Yang Flora D. Salim Yiran Chen AAML 9 36 0 09 Sep 2019
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 10 29 0 09 Sep 2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach Zhenyu Wu Karthik Suresh Priya Narayanan Hongyu Xu H. Kwon Zhangyang Wang AAML 26 76 0 11 Aug 2019
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao Jianfeng Chi Yuan Tian Geoffrey J. Gordon MIACV 16 2 0 19 Jun 2019
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset Zhenyu Wu Haotao Wang Zhaowen Wang Hailin Jin Zhangyang Wang AAML PICV 17 15 0 12 Jun 2019
All-In-One Underwater Image Enhancement using Domain-Adversarial Learning Pritish Uplavikar Zhenyu Wu Zhangyang Wang 11 128 0 30 May 2019
dpUGC: Learn Differentially Private Representation for User Generated Contents Xuan-Son Vu Son N. Tran Lili Jiang 9 14 0 25 Mar 2019
Image Privacy Prediction Using Deep Neural Networks Ashwini Tonge Cornelia Caragea 21 52 0 08 Mar 2019
AutoGAN-based Dimension Reduction for Privacy Preservation Hung Nguyen Di Zhuang Pei-Yuan Wu Jerome Chang 14 33 0 27 Feb 2019
Privacy-Preserving Action Recognition using Coded Aperture Videos Zihao W. Wang Vibhav Vineet Francesco Pittaluga Sudipta N. Sinha O. Cossairt S. B. Kang PICV 19 69 0 25 Feb 2019
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models Tae-Hoon Kim Dongmin Kang K. Pulli Jonghyun Choi 9 14 0 01 Jan 2019
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 8 525 0 06 Dec 2018
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 18 17 0 20 Nov 2018