Lucene search
K

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning

🗓️ 16 May 2025 00:00:00Reported by Yurong Hao, Wei Yang Bryan Lim, Xinyu Yan, Wenjie Li, Yang Cao, Fuyao ZhangType 
packetstormnews
 packetstormnews
🔗 packetstorm.news👁 6 Views

This work reveals a gradient-based reconstruction risk in proof of federated unlearning and proposes IGF with obfuscation.

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation