InstaHide: Instance-hiding Schemes for Private Distributed Learning

6 October 2020

Papers citing "InstaHide: Instance-hiding Schemes for Private Distributed Learning"

34 / 84 papers shown

Title
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies Shaltiel Eloul Fran Silavong Sanket Kamthe Antonios Georgiadis Sean J. Moran FedML 18 5 0 26 Apr 2022
Privacy-Preserving Image Classification Using Isotropic Network Maungmaung Aprilpyone Hitoshi Kiya 13 36 0 16 Apr 2022
Secure-by-Construction Synthesis of Cyber-Physical Systems Siyuan Liu Ashutosh Trivedi Xiang Yin Majid Zamani 3DV 30 43 0 14 Feb 2022
Syfer: Neural Obfuscation for Private Data Release Adam Yala Victor Quach H. Esfahanizadeh Rafael G. L. DÓliveira K. Duffy Muriel Médard Tommi Jaakkola Regina Barzilay PICV 21 7 0 28 Jan 2022
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients Jianyu Wang Qi A. S. Rawat Sashank J. Reddi Sagar M. Waghmare Felix X. Yu Gauri Joshi FedML 27 22 0 28 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 46 47 0 17 Jan 2022
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning Yangsibo Huang Samyak Gupta Zhao Song Kai Li Sanjeev Arora FedML AAML SILM 28 269 0 30 Nov 2021
Decentralized Unsupervised Learning of Visual Representations Yawen Wu Zhepeng Wang Dewen Zeng Meng Li Yiyu Shi Jingtong Hu SSL 40 23 0 21 Nov 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 47 24 0 14 Oct 2021
Practical and Secure Federated Recommendation with Personalized Masks Liu Yang Ben Tan Bo Liu V. Zheng Kun Guo Kai Chen Qiang Yang FedML 32 16 0 18 Aug 2021
NeuraCrypt is not private Nicholas Carlini Sanjam Garg S. Jha Saeed Mahloujifar Mohammad Mahmoody Florian Tramèr MIACV 18 19 0 16 Aug 2021
On the Importance of Encrypting Deep Features Xingyang Ni H. Huttunen Esa Rahtu MIACV 22 0 0 16 Aug 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 38 78 0 13 Jun 2021
Disrupting Model Training with Adversarial Shortcuts Ivan Evtimov Ian Covert Aditya Kusupati Tadayoshi Kohno AAML 28 10 0 12 Jun 2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training Adam Yala H. Esfahanizadeh Rafael G. L. DÓliveira K. Duffy M. Ghobadi Tommi Jaakkola Vinod Vaikuntanathan Regina Barzilay Muriel Médard OOD FedML 31 22 0 04 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation Xinjian Luo X. Xiao Yuncheng Wu Juncheng Liu Beng Chin Ooi FedML PICV 52 7 0 17 May 2021
Privacy and Integrity Preserving Training Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 11 0 0 01 May 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It Trung D. Q. Dang Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Peter Chin Franccoise Beaufays FedML 32 10 0 15 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 29 25 0 24 Mar 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 27 82 0 15 Mar 2021
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations Eitan Borgnia Jonas Geiping Valeriia Cherepanova Liam H. Fowl Arjun Gupta Amin Ghiasi Furong Huang Micah Goldblum Tom Goldstein 37 46 0 02 Mar 2021
Federated Learning without Revealing the Decision Boundaries Roozbeh Yousefzadeh FedML 11 0 0 01 Mar 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 73 57 0 09 Feb 2021
Symmetric Sparse Boolean Matrix Factorization and Applications Sitan Chen Zhao Song Runzhou Tao Ruizhe Zhang 41 5 0 02 Feb 2021
InstaHide's Sample Complexity When Mixing Two Private Images Baihe Huang Zhao Song Runzhou Tao Junze Yin Ruizhe Zhang Danyang Zhuo MIACV 28 9 0 24 Nov 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 27 13 0 23 Nov 2020
Is Private Learning Possible with Instance Encoding? Nicholas Carlini Samuel Deng Sanjam Garg S. Jha Saeed Mahloujifar Mohammad Mahmoody Shuang Song Abhradeep Thakurta Florian Tramèr MIACV 16 38 0 10 Nov 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 240 0 30 Oct 2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery Xiaoxiao Li Yangsibo Huang Binghui Peng Zhao Song Keqin Li MIACV 30 1 0 22 Oct 2020
Image Obfuscation for Privacy-Preserving Machine Learning Mathilde Raynal R. Achanta Mathias Humbert 38 13 0 20 Oct 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks Yangsibo Huang Zhao Song Danqi Chen Keqin Li Sanjeev Arora FedML 13 55 0 12 Oct 2020
Secure Data Sharing With Flow Model Chenwei Wu Chenzhuang Du Yang Yuan FedML 12 4 0 24 Sep 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 73 25 0 27 Apr 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 297 10,225 0 16 Nov 2016