5 papers
The Power of Backdoor Absorption in Community Training
Issam Seddik, Sami Souihi, Mohamed Tamaazousti +1
Backdoor attacks severely threaten large-scale AI models. When model owners delegate training to external compute providers within a decentralized training paradigm, adversaries ca…
Wait-free Replicated Data Types and Fair Reconciliation
Petr Kuznetsov, Maxence Perion, Sara Tucci-Piergiovanni
Replication ensures data availability in fault-prone distributed systems. The celebrated CAP theorem stipulates that replicas cannot guarantee both strong consistency and availabil…
PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models
Issam Seddik, Sami Souihi, Mohamed Tamaazousti +1
As Large Language Models (LLMs) gain traction across critical domains, ensuring secure and trustworthy training processes has become a major concern. Backdoor attacks, where malici…
Adversary-Augmented Simulation for Fairness Evaluation and Defense in Hyperledger Fabric
Erwan Mahe, Rouwaida Abdallah, Pierre-Yves Piriou +1
This paper presents an adversary model and a simulation framework specifically tailored for analyzing attacks on distributed systems composed of multiple distributed protocols, wit…
Order Fairness Evaluation of DAG-based ledgers
Erwan Mahe, Sara Tucci-Piergiovanni
Order fairness in distributed ledgers refers to properties that relate the order in which transactions are sent or received to the order in which they are eventually finalized, i.e…