Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic
Encryption

Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption

7 April 2017

Vishnu Naresh Boddeti

Yoichi Sato

Papers citing "Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption"

12 / 12 papers shown

Title
A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment Ashutosh Kumar Singh Rishabh Gupta 16 36 0 23 Dec 2022
Rethinking Portrait Matting with Privacy Preserving Sihan Ma Jizhizi Li Jing Zhang He-jun Zhang Dacheng Tao 24 23 0 31 Mar 2022
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors Deeksha Dangwal Vincent T. Lee Hyo Jin Kim Tianwei Shen M. Cowan ... Brandon Reagen Tim Sherwood Vasileios Balntas Armin Alaghi Eddy Ilg AAML 11 15 0 09 May 2021
Privacy-Preserving Portrait Matting Jizhizi Li Sihan Ma Jing Zhang Dacheng Tao PICV 15 60 0 29 Apr 2021
A Study of Face Obfuscation in ImageNet Kaiyu Yang Jacqueline Yau Li Fei-Fei Jia Deng Olga Russakovsky PICV CVBM 30 144 0 10 Mar 2021
NoPeek: Information leakage reduction to share activations in distributed deep learning Praneeth Vepakomma Abhishek Singh O. Gupta Ramesh Raskar MIACV FedML 16 84 0 20 Aug 2020
HERS: Homomorphically Encrypted Representation Search Joshua J. Engelsma Anil K. Jain Vishnu Naresh Boddeti 30 49 0 27 Mar 2020
Privacy Preserving Image-Based Localization Pablo Speciale Johannes L. Schonberger S. B. Kang Sudipta N. Sinha Marc Pollefeys 3DPC 17 83 0 13 Mar 2019
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 22 99 0 08 Dec 2018
A Review of Homomorphic Encryption Libraries for Secure Computation Sai Sri Sathya Praneeth Vepakomma Ramesh Raskar R. Ramachandra Santanu Bhattacharya 11 41 0 06 Dec 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 12 153 0 22 Jul 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 336 37 0 15 May 2018