Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2109.12298
Cited By
v1
v2
v3
v4 (latest)
Opacus: User-Friendly Differential Privacy Library in PyTorch
25 September 2021
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
Mani Malek
John Nguyen
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Opacus: User-Friendly Differential Privacy Library in PyTorch"
50 / 288 papers shown
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data
Neural Information Processing Systems (NeurIPS), 2023
Pratik Karmakar
D. Basu
MIACV
271
8
0
16 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Conference on Computer and Communications Security (CCS), 2023
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
330
3
0
09 Feb 2023
Pushing the Boundaries of Private, Large-Scale Query Answering
Brendan Avent
Aleksandra Korolova
180
0
0
09 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
International Conference on Machine Learning (ICML), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
216
31
0
09 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
International Conference on Learning Representations (ICLR), 2023
Yuancheng Xu
Yanchao Sun
Micah Goldblum
Tom Goldstein
Furong Huang
AAML
334
47
0
06 Feb 2023
Private GANs, Revisited
Alex Bie
Gautam Kamath
Guojun Zhang
278
19
0
06 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy
Anderson Santana de Oliveira
Caelin Kaplan
Khawla Mallat
Tanmay Chakraborty
FedML
226
10
0
06 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Communications Medicine (Commun Med), 2023
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
504
32
0
03 Feb 2023
On the Efficacy of Differentially Private Few-shot Image Classification
Marlon Tobaben
Aliaksandra Shysheya
J. Bronskill
Andrew Paverd
Shruti Tople
Santiago Zanella Béguelin
Richard Turner
Antti Honkela
412
16
0
02 Feb 2023
Analyzing Leakage of Personally Identifiable Information in Language Models
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Nils Lukas
A. Salem
Robert Sim
Shruti Tople
Lukas Wutschitz
Santiago Zanella Béguelin
PILM
661
319
0
01 Feb 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling
Neural Information Processing Systems (NeurIPS), 2023
A. Koskela
Tejas D. Kulkarni
315
24
0
27 Jan 2023
Membership Inference of Diffusion Models
Hailong Hu
Jun Pang
181
47
0
24 Jan 2023
Federated Recommendation with Additive Personalization
International Conference on Learning Representations (ICLR), 2023
Zhiwei Li
Guodong Long
Tianyi Zhou
FedML
330
34
0
22 Jan 2023
Cohere: Managing Differential Privacy in Large Scale Systems
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Nicolas Küchler
Emanuel Opel
Hidde Lycklama
Alexander Viand
Anwar Hithnawi
206
7
0
20 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Zongshun Zhang
Andrea Pinto
Valeria Turina
Flavio Esposito
I. Matta
FedML
368
53
0
04 Jan 2023
Regression with Label Differential Privacy
International Conference on Learning Representations (ICLR), 2022
Badih Ghazi
Pritish Kamath
Ravi Kumar
Ethan Leeman
Pasin Manurangsi
A. Varadarajan
Chiyuan Zhang
409
19
0
12 Dec 2022
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
International Conference on Machine Learning (ICML), 2022
Ashwinee Panda
Xinyu Tang
Saeed Mahloujifar
Vikash Sehwag
Prateek Mittal
341
15
0
08 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models
International Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2022
Andor Diera
N. Lell
Aygul Garifullina
A. Scherp
203
2
0
07 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning
Hongbin Liu
Wenjie Qu
Jinyuan Jia
Neil Zhenqiang Gong
SSL
163
6
0
06 Dec 2022
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
International Conference on Learning Representations (ICLR), 2022
Jiyan He
Xuechen Li
Da Yu
Huishuai Zhang
Janardhan Kulkarni
Y. Lee
A. Backurs
Nenghai Yu
Jiang Bian
349
58
0
03 Dec 2022
Differentially Private Learning with Per-Sample Adaptive Clipping
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tianyu Xia
Shuheng Shen
Su Yao
Xinyi Fu
Ke Xu
Xiaolong Xu
Xingbo Fu
502
28
0
01 Dec 2022
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing
Jie Fu
Zhili Chen
Xinpeng Ling
303
2
0
14 Nov 2022
Directional Privacy for Deep Learning
Pedro Faustini
Natasha Fernandes
Shakila Mahjabin Tonni
Annabelle McIver
Mark Dras
252
3
0
09 Nov 2022
Private Set Generation with Discriminative Information
Neural Information Processing Systems (NeurIPS), 2022
Dingfan Chen
Raouf Kerkouche
Mario Fritz
DD
174
44
0
07 Nov 2022
Privacy-Preserving Models for Legal Natural Language Processing
Ying Yin
Ivan Habernal
PILM
AILaw
172
8
0
05 Nov 2022
Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers
Moritz Kirschte
Sebastian Meiser
Saman Ardalan
Esfandiar Mohammadi
FedML
293
0
0
03 Nov 2022
On the Interaction Between Differential Privacy and Gradient Compression in Deep Learning
Jimmy J. Lin
154
0
0
01 Nov 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses
Ilias Driouich
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
AAML
FedML
277
3
0
28 Oct 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiang Yue
Huseyin A. Inan
Xuechen Li
Girish Kumar
Julia McAnallen
Hoda Shajari
Huan Sun
David Levitan
Robert Sim
336
114
0
25 Oct 2022
Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
473
127
0
18 Oct 2022
A General Framework for Auditing Differentially Private Machine Learning
Neural Information Processing Systems (NeurIPS), 2022
Fred Lu
Joseph Munoz
Maya Fuchs
Tyler LeBlond
Elliott Zaresky-Williams
Edward Raff
Francis Ferraro
Brian Testa
FedML
219
47
0
16 Oct 2022
A Closer Look at the Calibration of Differentially Private Learners
Hanlin Zhang
Xuechen Li
Prithviraj Sen
Salim Roukos
Tatsunori Hashimoto
230
4
0
15 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Neural Information Processing Systems (NeurIPS), 2022
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
328
194
0
10 Oct 2022
TAN Without a Burn: Scaling Laws of DP-SGD
International Conference on Machine Learning (ICML), 2022
Tom Sander
Pierre Stock
Alexandre Sablayrolles
FedML
292
54
0
07 Oct 2022
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
International Conference on Learning Representations (ICLR), 2022
Samuel Maddock
Alexandre Sablayrolles
Pierre Stock
FedML
292
28
0
06 Oct 2022
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning
Reza Nasirigerdeh
Javad Torkzadehmahani
Daniel Rueckert
Georgios Kaissis
206
1
0
30 Sep 2022
Differentially Private Optimization on Large Model at Small Cost
International Conference on Machine Learning (ICML), 2022
Zhiqi Bu
Yu Wang
Sheng Zha
George Karypis
384
77
0
30 Sep 2022
Differentially Private Bias-Term Fine-tuning of Foundation Models
International Conference on Machine Learning (ICML), 2022
Zhiqi Bu
Yu Wang
Sheng Zha
George Karypis
528
55
0
30 Sep 2022
Individual Privacy Accounting with Gaussian Differential Privacy
International Conference on Learning Representations (ICLR), 2022
A. Koskela
Marlon Tobaben
Antti Honkela
299
25
0
30 Sep 2022
M^4I: Multi-modal Models Membership Inference
Neural Information Processing Systems (NeurIPS), 2022
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
209
36
0
15 Sep 2022
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Hawaii International Conference on System Sciences (HICSS), 2022
Vijay Srinivas Tida
Sonya Hsu
X. Hei
MedIm
310
6
0
07 Sep 2022
Data Isotopes for Data Provenance in DNNs
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
194
17
0
29 Aug 2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
International Conference on AI in Finance (ICAF), 2022
Marco Schreyer
Timur Sattarov
Damian Borth
MLAU
142
24
0
26 Aug 2022
SNAP: Efficient Extraction of Private Properties with Poisoning
Harsh Chaudhari
John Abascal
Alina Oprea
Matthew Jagielski
Florian Tramèr
Jonathan R. Ullman
MIACV
229
37
0
25 Aug 2022
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Wenqiang Ruan
Ming Xu
Wenjing Fang
Li Wang
Lei Wang
Wei Han
197
21
0
18 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Shubhi Shukla
Manaar Alam
Sarani Bhattacharya
Debdeep Mukhopadhyay
Pabitra Mitra
AAML
284
2
0
01 Aug 2022
Dynamic Batch Adaptation
Cristian Simionescu
George Stoica
Robert Herscovici
ODL
135
1
0
01 Aug 2022
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Conference on Computer and Communications Security (CCS), 2022
Sílvia Casacuberta
Michael Shoemate
Salil P. Vadhan
Connor Wagaman
253
31
0
21 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
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
International Conference on Machine Learning (ICML), 2022
Rudrajit Das
Satyen Kale
Zheng Xu
Tong Zhang
Sujay Sanghavi
233
22
0
21 Jun 2022
Previous
1
2
3
4
5
6
Next
