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

Title
Reconstructing Training Data from Trained Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 313 162 0 15 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future DirectionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 132 48 0 15 Jun 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced RepresentationsInternational Conference on Machine Learning (ICML), 2022 Mohammad Mahmudul Alam Edward Raff Tim Oates James Holt 114 6 0 13 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated LearningUSENIX Security Symposium (USENIX Security), 2022 Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 213 66 0 08 Jun 2022
Recovering Private Text in Federated Learning of Language ModelsNeural Information Processing Systems (NeurIPS), 2022 Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 235 93 0 17 May 2022
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 128 8 0 26 Apr 2022
Privacy-Preserving Image Classification Using Isotropic Network Maungmaung Aprilpyone Hitoshi Kiya 111 40 0 16 Apr 2022
Secure-by-Construction Synthesis of Cyber-Physical SystemsAnnual Reviews in Control (ARC), 2022 Siyuan Liu Ashutosh Trivedi Xiang Yin Majid Zamani 3DV 144 50 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 202 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 250 30 0 28 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Christian Schroeder de Witt Amartya Sanyal Ser-Nam Lim Juil Sock Ponnurangam Kumaraguru AAML ELM MU 267 74 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 235 343 0 30 Nov 2021
Decentralized Unsupervised Learning of Visual RepresentationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Yawen Wu Zhepeng Wang Dewen Zeng Meng Li Yiyu Shi Jingtong Hu SSL 197 24 0 21 Nov 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 295 25 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 102 18 0 18 Aug 2021
NeuraCrypt is not private Nicholas Carlini Sanjam Garg S. Jha Saeed Mahloujifar Mohammad Mahmoody Florian Tramèr MIACV 113 19 0 16 Aug 2021
On the Importance of Encrypting Deep Features Xingyang Ni H. Huttunen Esa Rahtu MIACV 130 0 0 16 Aug 2021
Survey: Image Mixing and Deleting for Data AugmentationEngineering applications of artificial intelligence (EAAI), 2021 Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 275 105 0 13 Jun 2021
Disrupting Model Training with Adversarial Shortcuts Ivan Evtimov Ian Covert Aditya Kusupati Tadayoshi Kohno AAML 166 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 101 22 0 04 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data AugmentationAAAI Conference on Artificial Intelligence (AAAI), 2021 Xinjian Luo X. Xiao Yuncheng Wu Juncheng Liu Beng Chin Ooi FedML PICV 271 8 0 17 May 2021
Privacy and Integrity Preserving Training Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 87 0 0 01 May 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter ItIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Trung D. Q. Dang Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Peter Chin Franccoise Beaufays FedML 83 10 0 15 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing ApplicationsAnnual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2021 Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 110 28 0 24 Mar 2021
Quantum federated learning through blind quantum computingScience China Physics Mechanics and Astronomy (SCPMA), 2021 Weikang Li Sirui Lu D. Deng FedML 240 109 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 197 48 0 02 Mar 2021
Federated Learning without Revealing the Decision Boundaries Roozbeh Yousefzadeh FedML 78 0 0 01 Mar 2021
CaPC Learning: Confidential and Private Collaborative LearningInternational Conference on Learning Representations (ICLR), 2021 Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 216 60 0 09 Feb 2021
Symmetric Sparse Boolean Matrix Factorization and ApplicationsInformation Technology Convergence and Services (ITCS), 2021 Sitan Chen Zhao Song Runzhou Tao Ruizhe Zhang 265 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 194 9 0 24 Nov 2020
On InstaHide, Phase Retrieval, and Sparse Matrix FactorizationInternational Conference on Learning Representations (ICLR), 2020 Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 186 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 217 41 0 10 Nov 2020
Dataset Meta-Learning from Kernel Ridge-RegressionInternational Conference on Learning Representations (ICLR), 2020 Timothy Nguyen Zhourung Chen Jaehoon Lee DD 553 287 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 176 1 0 22 Oct 2020
Image Obfuscation for Privacy-Preserving Machine Learning Mathilde Raynal R. Achanta Mathias Humbert 177 14 0 20 Oct 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks Yangsibo Huang Zhao Song Danqi Chen Keqin Li Sanjeev Arora FedML 135 60 0 12 Oct 2020
Secure Data Sharing With Flow Model Chenwei Wu Chenzhuang Du Yang Yuan FedML 72 4 0 24 Sep 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated LearningACM Transactions on Knowledge Discovery from Data (TKDD), 2020 Xinjian Luo Xiangqi Zhu FedML 582 29 0 27 Apr 2020