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2001.02610
Cited By

iDLG: Improved Deep Leakage from Gradients

iDLG: Improved Deep Leakage from Gradients

8 January 2020

Konda Reddy Mopuri

ArXiv (abs)PDF HTML

Papers citing "iDLG: Improved Deep Leakage from Gradients"

50 / 360 papers shown

Gradient Inversion in Federated Reinforcement Learning

Gradient Inversion in Federated Reinforcement Learning

114

0

0

29 Nov 2025

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training

347

0

0

28 Nov 2025

Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI

Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI

590

0

0

26 Nov 2025

Privacy in Federated Learning with Spiking Neural Networks

Privacy in Federated Learning with Spiking Neural Networks

Jesus Martinez del Rincon

707

0

0

26 Nov 2025

Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew

Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew

Farhin Farhad Riya

Olivera Kotevska

AAML FedML FAtt

620

0

0

17 Nov 2025

Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models

Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models

364

1

0

13 Nov 2025

A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification

A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification

197

0

0

07 Nov 2025

SPEAR++: Scaling Gradient Inversion via Sparsely-Used Dictionary Learning

SPEAR++: Scaling Gradient Inversion via Sparsely-Used Dictionary Learning

Alexander Bakarsky

Dimitar I. Dimitrov

Maximilian Baader

139

0

0

28 Oct 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

260

0

0

27 Oct 2025

CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning

CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning

Anthony DiMaggio

Gururaj Saileshwar

162

0

0

19 Oct 2025

SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition

SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition

243

0

0

01 Oct 2025

CoSIFL: Collaborative Secure and Incentivized Federated Learning with Differential Privacy

CoSIFL: Collaborative Secure and Incentivized Federated Learning with Differential Privacy

142

0

0

27 Sep 2025

Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning

Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning

Xuan Liu

193

2

0

26 Sep 2025

Advancing Practical Homomorphic Encryption for Federated Learning: Theoretical Guarantees and Efficiency Optimizations

Advancing Practical Homomorphic Encryption for Federated Learning: Theoretical Guarantees and Efficiency Optimizations

Dumindu Samaraweera

Prashant Shekhar

J. Morris Chang

258

2

0

24 Sep 2025

Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks

Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks

Alessandro Savino

261

0

0

23 Sep 2025

Differentially private federated learning for localized control of infectious disease dynamics

Differentially private federated learning for localized control of infectious disease dynamics

Raouf Kerkouche

Martin J. Kühn

81

1

0

17 Sep 2025

MAGIA: Sensing Per-Image Signals from Single-Round Averaged Gradients for Label-Inference-Free Gradient Inversion

MAGIA: Sensing Per-Image Signals from Single-Round Averaged Gradients for Label-Inference-Free Gradient Inversion

141

0

0

17 Sep 2025

MAUI: Reconstructing Private Client Data in Federated Transfer Learning

MAUI: Reconstructing Private Client Data in Federated Transfer Learning

Ahaan Dabholkar

Z. Berkay Celik

175

0

0

14 Sep 2025

Balancing Utility and Privacy: Dynamically Private SGD with Random Projection

Balancing Utility and Privacy: Dynamically Private SGD with Random Projection

Nastaran Saadati

262

1

0

11 Sep 2025

Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning

Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning

Alanood Alqobaisi

Bruhadeshwar Bezawada

273

0

0

11 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

343

2

0

04 Sep 2025

Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning

Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning

139

0

0

16 Aug 2025

Adversarial Robustness in Distributed Quantum Machine Learning

Adversarial Robustness in Distributed Quantum Machine Learning

Hans-Arno Jacobsen

179

0

0

16 Aug 2025

Label Inference Attacks against Federated Unlearning

Label Inference Attacks against Federated Unlearning

219

2

0

09 Aug 2025

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning

167

0

0

06 Aug 2025

Evaluating the Dynamics of Membership Privacy in Deep Learning

Evaluating the Dynamics of Membership Privacy in Deep Learning

Nathalie Baracaldo

441

1

0

31 Jul 2025

Hypernetworks for Model-Heterogeneous Personalized Federated Learning

Hypernetworks for Model-Heterogeneous Personalized Federated Learning

235

0

0

30 Jul 2025

Uncovering Gradient Inversion Risks in Practical Language Model Training

Uncovering Gradient Inversion Risks in Practical Language Model TrainingConference on Computer and Communications Security (CCS), 2024

Alsharif Abuadbba

278

12

0

28 Jul 2025

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks

272

0

0

26 Jul 2025

Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning

Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning

Praveen Venkateswaran

N. Venkatasubramanian

309

2

0

23 Jun 2025

ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning

ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning

Chengcheng Zhao

177

0

0

18 Jun 2025

Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates

Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates

294

0

0

13 Jun 2025

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption

Muhammad Ali Najjar

Dumindu Samaraweera

Prashant Shekhar

271

1

0

09 Jun 2025

DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems

DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems

Michail Maniatakos

208

0

0

02 Jun 2025

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models

Baturalp Buyukates

222

1

0

28 May 2025

Label Leakage in Federated Inertial-based Human Activity Recognition

Label Leakage in Federated Inertial-based Human Activity Recognition

Maximilian Hopp

Kristof Van Laerhoven

Michael Moeller

367

0

0

27 May 2025

LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments

LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments

Abbas Jamalipour

292

0

0

26 May 2025

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression

423

1

0

21 May 2025

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption

Abdullah Al Omar

Omid Ardakanian

219

0

0

20 May 2025

Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning

Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated LearningConference on Uncertainty in Artificial Intelligence (UAI), 2025

Francesco Diana

Giovanni Neglia

429

0

0

15 May 2025

Onboard Optimization and Learning: A Survey

Onboard Optimization and Learning: A Survey

Monirul Islam Pavel

Mahardhika Pratama

Ryszard Kowalczyk

444

2

0

07 May 2025

PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks

PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks

327

0

0

08 Apr 2025

Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism

Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism

Himanshi Tibrewal

Pravendra Singh

391

1

0

03 Apr 2025

On Model Protection in Federated Learning against Eavesdropping Attacks

On Model Protection in Federated Learning against Eavesdropping Attacks

Kushal Chakrabarti

297

2

0

02 Apr 2025

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models

Shreshtha Sharma

280

2

0

26 Mar 2025

Empirical Calibration and Metric Differential Privacy in Language Models

Empirical Calibration and Metric Differential Privacy in Language Models

Natasha Fernandes

Annabelle McIver

306

1

0

18 Mar 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

426

2

0

18 Mar 2025

PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning

PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning

504

0

0

17 Mar 2025

From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges

From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges

320

7

0

10 Mar 2025

FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning

FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning

262

0

0

08 Mar 2025

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