Bilateral Differentially Private Vertical Federated Boosted Decision Trees

Federated learning is a distributed machine learning paradigm that enables collaborative training across multiple parties while ensuring data privacy. Gradient Boosting Decision Trees GBDT, such as XGBoost, have gained popularity due to their high performance and strong interpretability. Therefor...

Whispers of Data: Unveiling Label Distributions in Federated Learning through Virtual Client Simulation

Federated Learning enables collaborative training of a global model across multiple geographically dispersed clients without the need for data sharing. However, it is susceptible to inference attacks, particularly label inference attacks. Existing studies on label distribution inference exhibits...

Federated One-Shot Learning with Data Privacy and Objective-Hiding

Privacy in federated learning is crucial, encompassing two key aspects: safeguarding the privacy of clients' data and maintaining the privacy of the federator's objective from the clients. While the first aspect has been extensively studied, the second has received much less attention. We present...

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models

Parameter-efficient fine-tuning PEFT has emerged as a practical solution for adapting large language models LLMs to custom datasets with significantly reduced computational cost. When carrying out PEFT under collaborative learning scenarios e.g., federated learning, it is often required to exchan...

AI-Based Crypto Tokens: the Illusion of Decentralized AI?

The convergence of blockchain and artificial intelligence AI has led to the emergence of AI-based tokens, which are cryptographic assets designed to power decentralized AI platforms and services. This paper provides a comprehensive review of leading AI-token projects, examining their technical...

Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction

With the rapid digitalization of healthcare systems, there has been a substantial increase in the generation and sharing of private health data. Safeguarding patient information is essential for maintaining consumer trust and ensuring compliance with legal data protection regulations. Machine...

FAS - Upgrade of FAS server failed with error "Unable to complete the installation"

1 Attempting to upgrade FAS server component fails with below error- 2 Reinstallation attempt fails with the same error. 3 Event viewer shows below error : Log Name: Application Source: MsiInstaller Event ID: 11722 Task Category: None Level: Error Description: Product: Citrix Federated...

Private Federated Learning Using Preference-Optimized Synthetic Data

In practical settings, differentially private Federated learning DP-FL is the dominant method for training models from private, on-device client data. Recent work has suggested that DP-FL may be enhanced or outperformed by methods that use DP synthetic data Wu et al., 2024; Hou et al., 2024. The...

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification Utilizing OOD Data

Federated learning FL systems allow decentralized data-owning clients to jointly train a global model through uploading their locally trained updates to a centralized server. The property of decentralization enables adversaries to craft carefully designed backdoor updates to make the global model...

Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks

As cyber threats continue to evolve, securing edge networks has become increasingly challenging due to their distributed nature and resource limitations. Many AI-driven threat detection systems rely on complex deep learning models, which, despite their high accuracy, suffer from two major...

Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients

Whitepaper called Local Data Quantity-Aware Weighted Averaging For Federated Learning With Dishonest Clients...

FLSSM: a Federated Learning Storage Security Model with Homomorphic Encryption

Federated learning based on homomorphic encryption has received widespread attention due to its high security and enhanced protection of user data privacy. However, the characteristics of encrypted computation lead to three challenging problems: "computation-efficiency", "attack-tracing" and...

Ubuntu 24.04 VDA 2411 - "Invalid Login" with FAS Enabled

Users on Ubuntu 24.04 with Citrix VDA 2411 and Federated Authentication Service FAS enabled experience "Invalid Login" errors during login attempts...

CVE-2025-25306

Misskey is an open source, federated social media platform. The patch for CVE-2024-52591 did not sufficiently validate the relation between the id and url fields of ActivityPub objects. An attacker can forge an object where they claim authority in the url field even if the specific ActivityPub...

CVE-2025-25306 Misskey's Incomplete Patch of CVE-2024-52591 Leads to Forgery of Federated Notes

Misskey is an open source, federated social media platform. The patch for CVE-2024-52591 did not sufficiently validate the relation between the id and url fields of ActivityPub objects. An attacker can forge an object where they claim authority in the url field even if the specific ActivityPub...

CVE-2025-25306: Origin Validation Error

Misskey is an open source, federated social media platform. The patch for CVE-2024-52591 did not sufficiently validate the relation between the id and url fields of ActivityPub objects. An attacker can forge an object where they claim authority in the url field even if the specific ActivityPub...

CVE-2024-21649

The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning FL and Multi-Party Computation MPC. Prior to 4.2.0, authenticated users could inject code into algorithm environment variables, resulting in remote code execution. This vulnerability is...

CVE-2024-49363

Misskey is an open source, federated social media platform. In affected versions FileServerService media proxy in github.com/misskey-dev/misskey 2024.10.1 or earlier did not detect proxy loops, which allows remote actors to execute a self-propagating reflected/amplified distributed...

CVE-2024-10125

The Amazon.ApplicationLoadBalancer.Identity.AspNetCore repo https://github.com/awslabs/aws-alb-identity-aspnetcorevalidatetokensignature contains Middleware that can be used in conjunction with the Application Load Balancer ALB OpenId Connect integration and can be used in any ASP.NET...

Fedify 安全漏洞

Fedify is a TypeScript library by the individual developer Hong Minhee. It is used to build federated server applications supported by ActivityPub and other standards. A security vulnerability exists in Fedify that originates from a denial of service that allows a user to manipulate the Webfinger...