InstaHide: Instance-hiding Schemes for Private Distributed Learning

6 October 2020

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

50 / 84 papers shown

Title
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism Shourya Goel Himanshi Tibrewal Anant Jain Anshul Pundhir Pravendra Singh FedML 48 0 0 03 Apr 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 46 0 0 20 Jan 2025
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 71 0 0 29 Nov 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 36 0 0 20 Sep 2024
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning Kaixin Liu Huixin Xiong Bingyu Duan Zexuan Cheng Xinyu Zhou Wanqian Zhang Xinming Zhang 26 0 0 09 Aug 2024
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical William Boitier Antonella del Pozzo Álvaro García-Pérez Stephane Gazut Pierre Jobic ... Aurélien Mayoue Maxence Perion T. F. Rezende Deepika Singh Sara Tucci-Piergiovanni 17 1 0 05 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Yuan Yao Gongxi Zhu Bowen Li Jie Li Lixin Fan Qiang Yang 47 0 0 03 Jun 2024
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy Yichuan Shi Olivera Kotevska Viktor Reshniak Abhishek Singh Ramesh Raskar AAML 43 1 0 16 May 2024
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks Qiushi Li Yan Zhang Ju Ren Qi Li Yaoxue Zhang AAML PICV 41 23 0 05 Apr 2024
Clean-image Backdoor Attacks Dazhong Rong Guoyao Yu Shuheng Shen Xinyi Fu Peng Qian Jianhai Chen Qinming He Xing Fu Weiqiang Wang 41 4 0 22 Mar 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction Yuxi Mi Zhizhou Zhong Y. Huang Jia-Bao Ji Jianqing Xu Jun Wang Shaoming Wang Shouhong Ding Shuigeng Zhou PICV 37 13 0 19 Mar 2024
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack Yinggui Wang Yuanqing Huang Jianshu Li Le Yang Kai Song Lei Wang AAML PICV 53 0 0 14 Mar 2024
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models Shiming Wang Zhe Ji Liyao Xiang Hao Zhang Xinbing Wang Cheng Zhou Bo-wen Li 18 4 0 14 Jan 2024
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 16 4 0 16 Dec 2023
AnonPSI: An Anonymity Assessment Framework for PSI Bo Jiang Jian Du Qiang Yan 27 7 0 29 Nov 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples Jun Liu Jiantao Zhou Jinyu Tian Weiwei Sun PICV 27 6 0 19 Oct 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang Junyuan Hong Yuyang Deng M. Mahdavi Jiayu Zhou FedML 64 6 0 22 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 59 8 0 22 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks Jingyi Li Guocheng Liao Lin Chen Xu Chen 32 8 0 06 Sep 2023
Privacy-Preserving Face Recognition Using Random Frequency Components Yuxi Mi Y. Huang Jia-Bao Ji Minyi Zhao Jiaxiang Wu Xingkun Xu Shouhong Ding Shuigeng Zhou CVBM PICV 18 13 0 21 Aug 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Temporal Gradient Inversion Attacks with Robust Optimization Bowen Li Jie Li Hanlin Gu Ruoxin Chen Jie Li Chentao Wu Na Ruan Xueming Si Lixin Fan AAML 33 2 0 13 Jun 2023
Human-imperceptible, Machine-recognizable Images Fusheng Hao Fengxiang He Yikai Wang Fuxiang Wu Jing Zhang Jun Cheng Dacheng Tao AAML 19 0 0 06 Jun 2023
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos D. Gupta Ali Etemad PICV 22 4 0 01 Jun 2023
Federated Empirical Risk Minimization via Second-Order Method S. Bian Zhao-quan Song Junze Yin FedML 33 8 0 27 May 2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation Jiyi Zhang Hansheng Fang Hwee Kuan Lee E. Chang 16 1 0 10 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 16 8 0 06 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 65 18 0 29 Apr 2023
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels H. Esfahanizadeh Adam Yala Rafael G. L. DÓliveira Andrea J. D. Jaba Victor Quach ... Tommi Jaakkola Vinod Vaikuntanathan M. Ghobadi Regina Barzilay Muriel Médard 17 0 0 31 Mar 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Lixin Fan Qiang Yang FedML 36 13 0 30 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 31 0 0 31 Dec 2022
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 15 11 0 22 Dec 2022
IPProtect: protecting the intellectual property of visual datasets during data valuation Gursimran Singh Chendi Wang Ahnaf Tazwar Lanjun Wang Yong Zhang 17 0 0 22 Dec 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthuraman Chidambaram Xiang Wang Chenwei Wu Rong Ge MLT 11 8 0 24 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 27 13 0 08 Oct 2022
Differentially Private Deep Learning with ModelMix Hanshen Xiao Jun Wan S. Devadas 23 3 0 07 Oct 2022
Concealing Sensitive Samples against Gradient Leakage in Federated Learning Jing Wu Munawar Hayat Min Zhou Mehrtash Harandi FedML 11 9 0 13 Sep 2022
Dropout is NOT All You Need to Prevent Gradient Leakage Daniel Scheliga Patrick Mäder M. Seeland FedML 27 12 0 12 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 49 48 0 07 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 20 3 0 04 Aug 2022
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain Yuxi Mi Y. Huang Jia-Bao Ji Hongquan Liu Xingkun Xu Shouhong Ding Shuigeng Zhou PICV CVBM 19 27 0 15 Jul 2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain Jia-Bao Ji Huan Wang Y. Huang Jiaxiang Wu Xingkun Xu Shouhong Ding Shengchuan Zhang Liujuan Cao Rongrong Ji CVBM PICV 49 35 0 15 Jul 2022
Towards Privacy-Preserving Person Re-identification via Person Identify Shift Shuguang Dou Xinyang Jiang Qingsong Zhao Dongsheng Li Cairong Zhao 16 8 0 15 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 26 58 0 30 Jun 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 32 36 0 15 Jun 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam Edward Raff Tim Oates James Holt 17 5 0 13 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 31 46 0 08 Jun 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 27 74 0 17 May 2022