Publication

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

Publications associées (80)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

Graph Chatbot

Chattez avec Graph Search

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study

Privacy Laws and Value of Personal Data

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Are GAN-based Morphs Threatening Face Recognition?

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Are GAN-based Morphs Threatening Face Recognition?

Privacy Laws and Value of Personal Data

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data