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Opacus: User-Friendly Differential Privacy Library in PyTorch

v1v2v3v4 (latest)

Opacus: User-Friendly Differential Privacy Library in PyTorch

25 September 2021

Ashkan Yousefpour

Alexandre Sablayrolles

Davide Testuggine

Akash Bharadwaj

ArXiv (abs)PDF HTML

Papers citing "Opacus: User-Friendly Differential Privacy Library in PyTorch"

50 / 288 papers shown

Sliced Rényi Pufferfish Privacy: Directional Additive Noise Mechanism and Private Learning with Gradient Clipping

Sliced Rényi Pufferfish Privacy: Directional Additive Noise Mechanism and Private Learning with Gradient Clipping

Yevgeniy Vorobeychik

51

1

0

30 Nov 2025

Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation

53

0

0

29 Nov 2025

Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease

Benjamin D. Ballyk

Kavitha Subramanian

Ahmed Ammar Naseer

Georg Maierhofer

Sumanth Swaminathan

Vasudevan Venkateshwaran

297

0

0

29 Nov 2025

DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning

DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning

Mihaela Hudişteanu

Nikita P. Kalinin

128

0

0

25 Nov 2025

Toward Valid Generative Clinical Trial Data with Survival Endpoints

Perrine Chassat

Van-Tuan Nguyen

Agathe Guilloux

68

0

0

20 Nov 2025

How to Train Private Clinical Language Models: A Comparative Study of Privacy-Preserving Pipelines for ICD-9 Coding

How to Train Private Clinical Language Models: A Comparative Study of Privacy-Preserving Pipelines for ICD-9 Coding

104

0

0

18 Nov 2025

Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization

Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization

Dilli Prasad Sharma

96

0

0

12 Nov 2025

Privacy-Aware Time Series Synthesis via Public Knowledge Distillation

Privacy-Aware Time Series Synthesis via Public Knowledge Distillation

Eleonora Kreacic

Svitlana Vyetrenko

144

0

0

01 Nov 2025

Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments

Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments

Miguel Fernandez-de-Retana

Rubén Sánchez-Corcuera

225

0

0

27 Oct 2025

On Optimal Hyperparameters for Differentially Private Deep Transfer Learning

On Optimal Hyperparameters for Differentially Private Deep Transfer Learning

Mikko Heikkilä

139

0

0

23 Oct 2025

Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference

Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference

Julianna Piskorz

Stefan Feuerriegel

Mihaela van der Schaar

207

1

0

21 Oct 2025

An information theorist's tour of differential privacy

An information theorist's tour of differential privacy

Anand D. Sarwate

Flavio du Pin Calmon

122

0

0

11 Oct 2025

On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning

On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning

249

0

0

10 Oct 2025

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature

148

0

0

06 Oct 2025

Multi-Class Support Vector Machine with Differential Privacy

Multi-Class Support Vector Machine with Differential Privacy

118

0

0

05 Oct 2025

SoftAdaClip: A Smooth Clipping Strategy for Fair and Private Model Training

SoftAdaClip: A Smooth Clipping Strategy for Fair and Private Model Training

Dorsa Soleymani

197

0

0

01 Oct 2025

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy

117

0

0

28 Sep 2025

Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks

Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks

233

1

0

15 Sep 2025

Balancing Utility and Privacy: Dynamically Private SGD with Random Projection

Balancing Utility and Privacy: Dynamically Private SGD with Random Projection

Nastaran Saadati

182

0

0

11 Sep 2025

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy

104

0

0

05 Sep 2025

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning

Sajedul Talukder

Md. jahangir Alam

269

0

0

04 Sep 2025

Network-Aware Differential Privacy

Network-Aware Differential Privacy

101

0

0

04 Sep 2025

On the MIA Vulnerability Gap Between Private GANs and Diffusion Models

On the MIA Vulnerability Gap Between Private GANs and Diffusion Models

Jean-Yves Franceschi

Alain Rakotomamonjy

Alexandre Allauzen

139

0

0

03 Sep 2025

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling

Gennady Pekhimenko

Nandita Vijaykumar

160

0

0

03 Sep 2025

Private Hyperparameter Tuning with Ex-Post Guarantee

Private Hyperparameter Tuning with Ex-Post Guarantee

Pasin Manurangsi

164

1

0

21 Aug 2025

Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning

Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning

Tayyebeh Jahani-Nezhad

148

0

0

18 Aug 2025

Improving Noise Efficiency in Privacy-preserving Dataset Distillation

Improving Noise Efficiency in Privacy-preserving Dataset Distillation

Vishnu Asutosh Dasu

Fernando de la Torre

227

1

0

03 Aug 2025

Statistical Inference for Differentially Private Stochastic Gradient Descent

Statistical Inference for Differentially Private Stochastic Gradient Descent

156

0

0

28 Jul 2025

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy

Juan Felipe Gomez

Flavio du Pin Calmon

Jean Louis Raisaro

258

1

0

09 Jul 2025

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction

228

0

0

30 Jun 2025

Private Training & Data Generation by Clustering Embeddings

Private Training & Data Generation by Clustering Embeddings

Alessandro Epasto

Vincent Cohen-Addad

191

0

0

20 Jun 2025

Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning

Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning

Vikrant Singhal

Rachel Cummings

Nicolas Papernot

186

0

0

14 Jun 2025

Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs

Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs

Rodion Oblovatny

Alexandra Bazarova

225

0

0

11 Jun 2025

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?

Natasha Fernandes

David D. Nguyen

232

0

0

11 Jun 2025

Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping

Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping

Mikko A. Heikkilä

Razane Tajeddine

239

1

0

02 Jun 2025

Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications

Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications

Marziyeh Mohammadi

Mohsen Vejdanihemmat

Mahshad Lotfinia

Andreas K. Maier

Soroosh Tayebi Arasteh

294

1

0

31 May 2025

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches

Vishwak Srinivasan

261

0

0

30 May 2025

Inclusive, Differentially Private Federated Learning for Clinical Data

Inclusive, Differentially Private Federated Learning for Clinical Data

Santhosh Parampottupadam

Dimitrios Bounias

Klaus H. Maier-Hein

223

0

0

28 May 2025

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025

Andrew C. Cullen

Benjamin I. P. Rubinstein

237

4

0

27 May 2025

Spurious Privacy Leakage in Neural Networks

Spurious Privacy Leakage in Neural Networks

Chenxiang Zhang

363

1

0

26 May 2025

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA

397

2

0

19 May 2025

Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs

Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs

Samaneh Mohammadi

Iraklis Symeonidis

Francesco Flammini

139

2

0

11 May 2025

Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation

Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation

Abdelrahman Abouelenin

142

0

0

08 May 2025

Towards Trustworthy Federated Learning with Untrusted Participants

Towards Trustworthy Federated Learning with Untrusted Participants

Youssef Allouah

402

5

0

03 May 2025

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation

Stefanos Laskaridis

Ali Shahin Shamsabadi

288

0

0

25 Apr 2025

POPri: Private Federated Learning using Preference-Optimized Synthetic Data

POPri: Private Federated Learning using Preference-Optimized Synthetic Data

525

7

0

23 Apr 2025

Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks

Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks

Murat Bilgehan Ertan

Phuong Ha Nguyen

Marten van Dijk

352

0

0

23 Apr 2025

Benchmarking Differentially Private Tabular Data Synthesis

Benchmarking Differentially Private Tabular Data Synthesis

238

6

0

18 Apr 2025

Differentially Private Geodesic and Linear Regression

Differentially Private Geodesic and Linear Regression

Aditya Kulkarni

277

0

0

15 Apr 2025

Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search

Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic SearchInternational Journal of Applied Earth Observation and Geoinformation (JAEOG), 2025

326

1

0

18 Mar 2025