most citedCan Decentralized Learning be more robust than Federated Learning?

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CR2024

Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese

Large language models (LLMs) are increasingly being harnessed to automate cyberattacks, making sophisticated exploits more accessible and scalable. In response, we propose a new de…

cs.LG2023★ 5 cited

Can Decentralized Learning be more robust than Federated Learning?

Mathilde Raynal, Dario Pasquini, Carmela Troncoso

Decentralized Learning (DL) is a peer--to--peer learning approach that allows a group of users to jointly train a machine learning model. To ensure correctness, DL should be robust…