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2010.02772
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InstaHide: Instance-hiding Schemes for Private Distributed Learning
6 October 2020
Yangsibo Huang
Zhao Song
Keqin Li
Sanjeev Arora
FedML
PICV
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ArXiv (abs)
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Github (12★)
Papers citing
"InstaHide: Instance-hiding Schemes for Private Distributed Learning"
50 / 89 papers shown
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
Yuyuan Li
Junjie Fang
Fengyuan Yu
Xichun Sheng
Tianyu Du
Xuyang Teng
Shaowei Jiang
Linbo Jiang
Jianan Lin
Chaochao Chen
MU
289
0
0
28 Nov 2025
Setting
ε
\varepsilon
ε
is not the Issue in Differential Privacy
Edwige Cyffers
98
0
0
09 Nov 2025
SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
Chenxiang Luo
David K.Y. Yau
Qun Song
AAML
173
0
0
01 Oct 2025
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
Xingchen Wang
Feijie Wu
Chenglin Miao
Tianchun Li
Haoyu Hu
Qiming Cao
Jing Gao
Lu Su
160
0
0
18 Sep 2025
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning
Md Fazle Rasul
Alanood Alqobaisi
Bruhadeshwar Bezawada
I. Ray
AAML
FedML
134
0
0
11 Sep 2025
Uncovering Gradient Inversion Risks in Practical Language Model Training
Conference on Computer and Communications Security (CCS), 2024
Xinguo Feng
Zhongkui Ma
Zihan Wang
Eu Joe Chegne
Mengyao Ma
Alsharif Abuadbba
Guangdong Bai
222
7
0
28 Jul 2025
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
393
1
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
334
1
0
03 Apr 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
Evan Gronberg
L. dÁliberti
Magnus Saebo
Aurora Hook
FedML
216
0
0
20 Jan 2025
Gradient Inversion Attack on Graph Neural Networks
Divya Anand Sinha
Ruijie Du
Yezi Liu
Athina Markopolou
Yanning Shen
FedML
337
3
0
29 Nov 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
International Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024
Kyle Rui Sang
Tahseen Rabbani
Furong Huang
FedML
191
1
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
157
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
166
9
0
05 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Hanlin Gu
Jiahuan Luo
Weijing Chen
Yuan Yao
Gongxi Zhu
Bowen Li Jie Li
Lixin Fan
Qiang Yang
246
1
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
196
4
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
248
29
0
05 Apr 2024
Clean-image Backdoor Attacks
International Conference on Artificial Neural Networks (ICANN), 2024
Dazhong Rong
Guoyao Yu
Shuheng Shen
Xinyi Fu
Peng Qian
Jianhai Chen
Qinming He
Xing Fu
Weiqiang Wang
312
7
0
22 Mar 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
Yuxi Mi
Zhizhou Zhong
Yanhua Huang
Jia-Bao Ji
Jianqing Xu
Jun Wang
Shaoming Wang
Shouhong Ding
Shuigeng Zhou
PICV
240
31
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
301
1
0
14 Mar 2024
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
Network and Distributed System Security Symposium (NDSS), 2024
Shiming Wang
Zhe Ji
Liyao Xiang
Hao Zhang
Xinbing Wang
Cheng Zhou
Yue Liu
183
5
0
14 Jan 2024
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yuting Ma
Yuanzhi Yao
Xiaohua Xu
FedML
160
7
0
16 Dec 2023
AnonPSI: An Anonymity Assessment Framework for PSI
IACR Cryptology ePrint Archive (IACR ePrint), 2023
Bo Jiang
Jian Du
Qiang Yan
139
12
0
29 Nov 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
Jun Liu
Jiantao Zhou
Jinyu Tian
Weiwei Sun
PICV
145
9
0
19 Oct 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions
Neural Information Processing Systems (NeurIPS), 2023
Haobo Zhang
Junyuan Hong
Yuyang Deng
M. Mahdavi
Jiayu Zhou
FedML
362
11
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
394
12
0
22 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Jingyi Li
Guocheng Liao
Lin Chen
Xu Chen
214
15
0
06 Sep 2023
Privacy-Preserving Face Recognition Using Random Frequency Components
IEEE International Conference on Computer Vision (ICCV), 2023
Yuxi Mi
Yanhua Huang
Jia-Bao Ji
Minyi Zhao
Jiaxiang Wu
Xingkun Xu
Shouhong Ding
Shuigeng Zhou
CVBM
PICV
224
20
0
21 Aug 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huiqiang Chen
Tianqing Zhu
Tao Zhang
Wanlei Zhou
Philip S. Yu
FedML
225
74
0
25 Jun 2023
Temporal Gradient Inversion Attacks with Robust Optimization
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Bowen Li Jie Li
Hanlin Gu
Ruoxin Chen
Jie Li
Chentao Wu
Na Ruan
Xueming Si
Lixin Fan
AAML
177
5
0
13 Jun 2023
Human-imperceptible, Machine-recognizable Images
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Fusheng Hao
Fengxiang He
Yikai Wang
Fuxiang Wu
Jing Zhang
Jun Cheng
Dacheng Tao
AAML
156
2
0
06 Jun 2023
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
D. Gupta
Ali Etemad
PICV
209
5
0
01 Jun 2023
Federated Empirical Risk Minimization via Second-Order Method
S. Bian
Zhao Song
Junze Yin
FedML
236
10
0
27 May 2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Jiyi Zhang
Hansheng Fang
Hwee Kuan Lee
E. Chang
202
1
0
10 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Neural Information Processing Systems (NeurIPS), 2023
Kiwan Maeng
Chuan Guo
Sanjay Kariyappa
G. E. Suh
211
13
0
06 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Weijing Chen
Hanlin Gu
Xingxing Tang
Yuanqin He
Yuzhu Zhang
Jinnan He
Yuxing Han
Lixin Fan
Kai Chen
Qiang Yang
FedML
380
19
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
114
0
0
31 Mar 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Hanlin Gu
Jiahuan Luo
Weijing Chen
Lixin Fan
Qiang Yang
FedML
206
16
0
30 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning
Sagar Sharma
Yuechun Gu
Keke Chen
140
0
0
31 Dec 2022
GAN-based Domain Inference Attack
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yuechun Gu
Keke Chen
124
12
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
166
1
0
22 Dec 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
International Conference on Machine Learning (ICML), 2022
Muthuraman Chidambaram
Xiang Wang
Chenwei Wu
Rong Ge
MLT
274
12
0
24 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Jiahui Chen
Yi Zhao
Qi Li
Xuewei Feng
Ke Xu
AAML
FedML
314
29
0
08 Oct 2022
Differentially Private Deep Learning with ModelMix
Hanshen Xiao
Jun Wan
S. Devadas
250
5
0
07 Oct 2022
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jing Wu
Munawar Hayat
Min Zhou
Mehrtash Harandi
FedML
196
15
0
13 Sep 2022
Dropout is NOT All You Need to Prevent Gradient Leakage
AAAI Conference on Artificial Intelligence (AAAI), 2022
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
224
17
0
12 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
245
66
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
122
5
0
04 Aug 2022
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain
ACM Multimedia (ACM MM), 2022
Yuxi Mi
Yanhua Huang
Jia-Bao Ji
Hongquan Liu
Xingkun Xu
Shouhong Ding
Shuigeng Zhou
PICV
CVBM
159
38
0
15 Jul 2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
European Conference on Computer Vision (ECCV), 2022
Jia-Bao Ji
Huan Wang
Yanhua Huang
Jiaxiang Wu
Xingkun Xu
Shouhong Ding
Shengchuan Zhang
Liujuan Cao
Rongrong Ji
CVBM
PICV
326
49
0
15 Jul 2022
Towards Privacy-Preserving Person Re-identification via Person Identify Shift
Shuguang Dou
Xinyang Jiang
Qingsong Zhao
Dongsheng Li
Cairong Zhao
148
9
0
15 Jul 2022
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