most citedAsyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CR2025

Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree

Sam Johnson, Viet Pham, Thai Le

This work demonstrates that LLM-based web navigation agents offer powerful automation capabilities but are vulnerable to Indirect Prompt Injection (IPI) attacks. We show that adver…

cs.CR2025

PARASITE: Conditional System Prompt Poisoning to Hijack LLMs

Viet Pham, Thai Le

Large Language Models (LLMs) are increasingly deployed via third-party system prompts downloaded from public marketplaces. We identify a critical supply-chain vulnerability: condit…

cs.LG2024★ 3 cited

Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation

Tien-Dung Cao, Nguyen T. Vuong, Thai Q. Le +2

In federated learning, the models can be trained synchronously or asynchronously. Many research works have focused on developing an aggregation method for the server to aggregate m…