Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples

19 October 2023

Jun Liu

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Papers citing "Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples"

23 / 23 papers shown

Title
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain Yuxi Mi Yanhua Huang Jia-Bao Ji Hongquan Liu Xingkun Xu Shouhong Ding Shuigeng Zhou PICV CVBM 57 30 0 15 Jul 2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain Jia-Bao Ji Huan Wang Yanhua Huang Jiaxiang Wu Xingkun Xu Shouhong Ding Shengchuan Zhang Liujuan Cao Rongrong Ji CVBM PICV 93 38 0 15 Jul 2022
InstaHide: Instance-hiding Schemes for Private Distributed Learning Yangsibo Huang Zhao Song Keqin Li Sanjeev Arora FedML PICV 91 152 0 06 Oct 2020
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition Sanghyeon An Min Jun Lee Sanglee Park H. Yang Jungmin So 78 79 0 12 Aug 2020
PrivEdge: From Local to Distributed Private Training and Prediction Ali Shahin Shamsabadi Adria Gascon Hamed Haddadi Andrea Cavallaro 60 19 0 12 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 94 261 0 09 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 57 30 0 11 Mar 2020
Walking on the Edge: Fast, Low-Distortion Adversarial Examples Hanwei Zhang Yannis Avrithis Teddy Furon Laurent Amsaleg AAML 50 46 0 04 Dec 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 85 2,332 0 13 Feb 2019
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 165 1,208 0 23 Apr 2018
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 67 337 0 27 Mar 2018
Deep Private-Feature Extraction S. A. Ossia A. Taheri Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Hamid R. Rabiee 36 96 0 09 Feb 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 79 894 0 16 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,938 0 11 Jan 2018
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security Hao Dong Chao Wu Zhen Wei Yike Guo 64 30 0 20 Nov 2017
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 103 2,638 0 23 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,587 0 16 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 220 6,172 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 414 17,615 0 17 Feb 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,910 0 14 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 391 13,172 0 12 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014