Picture for Ilya Mironov

Ilya Mironov

BLIA: Detect model memorization in binary classification model through passive Label Inference attack

Add code
Mar 17, 2025
Viaarxiv icon

Green Federated Learning

Add code
Mar 26, 2023
Viaarxiv icon

Reconciling Security and Communication Efficiency in Federated Learning

Add code
Jul 26, 2022
Figure 1 for Reconciling Security and Communication Efficiency in Federated Learning
Figure 2 for Reconciling Security and Communication Efficiency in Federated Learning
Figure 3 for Reconciling Security and Communication Efficiency in Federated Learning
Figure 4 for Reconciling Security and Communication Efficiency in Federated Learning
Viaarxiv icon

FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning

Add code
Jun 07, 2022
Figure 1 for FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Figure 2 for FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Figure 3 for FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Figure 4 for FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Viaarxiv icon

Defending against Reconstruction Attacks with Rényi Differential Privacy

Add code
Feb 15, 2022
Figure 1 for Defending against Reconstruction Attacks with Rényi Differential Privacy
Figure 2 for Defending against Reconstruction Attacks with Rényi Differential Privacy
Figure 3 for Defending against Reconstruction Attacks with Rényi Differential Privacy
Figure 4 for Defending against Reconstruction Attacks with Rényi Differential Privacy
Viaarxiv icon

Opacus: User-Friendly Differential Privacy Library in PyTorch

Add code
Oct 05, 2021
Figure 1 for Opacus: User-Friendly Differential Privacy Library in PyTorch
Figure 2 for Opacus: User-Friendly Differential Privacy Library in PyTorch
Viaarxiv icon

Antipodes of Label Differential Privacy: PATE and ALIBI

Add code
Jun 07, 2021
Figure 1 for Antipodes of Label Differential Privacy: PATE and ALIBI
Figure 2 for Antipodes of Label Differential Privacy: PATE and ALIBI
Figure 3 for Antipodes of Label Differential Privacy: PATE and ALIBI
Figure 4 for Antipodes of Label Differential Privacy: PATE and ALIBI
Viaarxiv icon

Wide Network Learning with Differential Privacy

Add code
Mar 01, 2021
Figure 1 for Wide Network Learning with Differential Privacy
Figure 2 for Wide Network Learning with Differential Privacy
Figure 3 for Wide Network Learning with Differential Privacy
Figure 4 for Wide Network Learning with Differential Privacy
Viaarxiv icon

Cryptanalytic Extraction of Neural Network Models

Add code
Mar 10, 2020
Figure 1 for Cryptanalytic Extraction of Neural Network Models
Figure 2 for Cryptanalytic Extraction of Neural Network Models
Figure 3 for Cryptanalytic Extraction of Neural Network Models
Figure 4 for Cryptanalytic Extraction of Neural Network Models
Viaarxiv icon

Rényi Differential Privacy of the Sampled Gaussian Mechanism

Add code
Aug 28, 2019
Figure 1 for Rényi Differential Privacy of the Sampled Gaussian Mechanism
Figure 2 for Rényi Differential Privacy of the Sampled Gaussian Mechanism
Viaarxiv icon