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2011.05315
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Is Private Learning Possible with Instance Encoding?
10 November 2020
Nicholas Carlini
Samuel Deng
Sanjam Garg
S. Jha
Saeed Mahloujifar
Mohammad Mahmoody
Shuang Song
Abhradeep Thakurta
Florian Tramèr
MIACV
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Papers citing
"Is Private Learning Possible with Instance Encoding?"
25 / 25 papers shown
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation
Jinyu Liu
Gang Tan
Kiwan Maeng
130
0
0
24 Nov 2025
Setting
ε
\varepsilon
ε
is not the Issue in Differential Privacy
Edwige Cyffers
155
0
0
09 Nov 2025
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
351
2
0
14 Mar 2024
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference
Kiwan Maeng
G. E. Suh
258
5
0
09 Sep 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
258
16
0
06 May 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
146
0
0
31 Mar 2023
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
437
55
0
15 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
Micro (MICRO), 2021
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
285
71
0
30 Jun 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
164
8
0
26 Apr 2022
Deep Unlearning via Randomized Conditionally Independent Hessians
Computer Vision and Pattern Recognition (CVPR), 2022
Ronak R. Mehta
Sourav Pal
Vikas Singh
Sathya Ravi
MU
353
119
0
15 Apr 2022
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang
Samyak Gupta
Zhao Song
Kai Li
Sanjeev Arora
FedML
AAML
SILM
456
366
0
30 Nov 2021
Practical and Secure Federated Recommendation with Personalized Masks
Liu Yang
Ben Tan
Bo Liu
V. Zheng
Kun Guo
Kai Chen
Qiang Yang
FedML
165
18
0
18 Aug 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
International Conference on Machine Learning (ICML), 2021
Steve Chien
Prateek Jain
Walid Krichene
Steffen Rendle
Shuang Song
Abhradeep Thakurta
Li Zhang
208
19
0
20 Jul 2021
Disrupting Model Training with Adversarial Shortcuts
Ivan Evtimov
Ian Covert
Aditya Kusupati
Tadayoshi Kohno
AAML
225
10
0
12 Jun 2021
Differential Privacy for Text Analytics via Natural Text Sanitization
Findings (Findings), 2021
Xiang Yue
Minxin Du
Tianhao Wang
Yaliang Li
Huan Sun
Sherman S. M. Chow
296
127
0
02 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Xinjian Luo
X. Xiao
Yuncheng Wu
Juncheng Liu
Beng Chin Ooi
FedML
PICV
332
9
0
17 May 2021
Privacy and Integrity Preserving Training Using Trusted Hardware
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
194
0
0
01 May 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Conference on Computer and Communications Security (CCS), 2021
Wei Ping
Fan Wu
Yunhui Long
Luka Rimanic
Ce Zhang
Yue Liu
FedML
779
76
0
20 Mar 2021
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods
William Paul
Yinzhi Cao
Miaomiao Zhang
Philippe Burlina
AAML
MedIm
313
16
0
04 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
460
49
0
02 Mar 2021
Symmetric Sparse Boolean Matrix Factorization and Applications
Information Technology Convergence and Services (ITCS), 2021
Sitan Chen
Zhao Song
Runzhou Tao
Ruizhe Zhang
370
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
286
9
0
24 Nov 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
International Conference on Learning Representations (ICLR), 2020
Sitan Chen
Xiaoxiao Li
Zhao Song
Danyang Zhuo
310
14
0
23 Nov 2020
Synthetic Data -- Anonymisation Groundhog Day
USENIX Security Symposium (USENIX Security), 2020
Theresa Stadler
Bristena Oprisanu
Carmela Troncoso
679
216
0
13 Nov 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Xinjian Luo
Xiangqi Zhu
FedML
802
30
0
27 Apr 2020
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