25 citations · 37 across the 19 of their papers we have counts for
20 papers
Mitigating Front-Running Attacks through Fair and Resilient Transaction Dissemination
Wassim Yahyaoui, Joachim Bruneau-Queyreix, Jérémie Decouchant +1
In modern blockchains, efficient, fair, and faulttolerant information dissemination is critical for performance and security. Several stages of the transaction lifecycle are affect…
Tilikum: Transaction Fair Ordering on a DAG without Weak Edges
Giulio Segalini, Yigit Çolakoğlu, Marko Putnik +1
Decentralized Finance (DeFi) applications rely heavily on the order in which transactions are executed, making them susceptible to reordering attacks that enable adversaries to ext…
Herring: Parallel Batch-Order-Fairness on DAG-based Blockchain Consensus
Marko Putnik, Jérémie Decouchant
Transaction ordering attacks extract billions of dollars annually from decentralized finance users in the form of Maximal Extractable Value (MEV). Byzantine Fault-Tolerant (BFT) co…
The Blockchain Execution Dilemma: Optimizing Revenue XOR Fair Ordering
Artjom Pugatsov, Can Umut Ileri, Jérémie Decouchant
Successive consensus algorithm generations displaced the blockchain performance bottleneck to the execution layer. Recent works address this by parallelizing non-conflicting transa…
Tolerating Disasters with Hierarchical Consensus
Wassim Yahyaoui, Joachim Bruneau-Queyreix, Jérémie Decouchant +1
Geo-replication provides disaster recovery after catastrophic accidental failures or attacks, such as fires, blackouts or denial-of-service attacks to a data center or region. Natu…
TabVFL: Improving Latent Representation in Vertical Federated Learning
Mohamed Rashad, Zilong Zhao, Jeremie Decouchant +1
Autoencoders are popular neural networks that are able to compress high dimensional data to extract relevant latent information. TabNet is a state-of-the-art neural network model d…
Intrusion Resilience Systems for Modern Vehicles
Ali Shoker, Vincent Rahli, Jeremie Decouchant +1
Current vehicular Intrusion Detection and Prevention Systems either incur high false-positive rates or do not capture zero-day vulnerabilities, leading to safety-critical risks. In…
LØ: An Accountable Mempool for MEV Resistance
Bulat Nasrulin, Georgy Ishmaev, Jérémie Decouchant +1
Possible manipulation of user transactions by miners in a permissionless blockchain systems is a growing concern. This problem is a pervasive and systemic issue, known as Miner Ext…
Leveraging the Verifier's Dilemma to Double Spend in Bitcoin
Tong Cao, Jérémie Decouchant, Jiangshan Yu
We describe and analyze perishing mining, a novel block-withholding mining strategy that lures profit-driven miners away from doing useful work on the public chain by releasing blo…
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Bart Cox, Lydia Y. Chen, Jérémie Decouchant
Federated Learning (FL) is a popular approach for distributed deep learning that prevents the pooling of large amounts of data in a central server. FL relies on clients to update a…
Secure and Distributed Assessment of Privacy-Preserving Releases of GWAS
Túlio Pascoal, Jérémie Decouchant, Marcus Völp
Genome-wide association studies (GWAS) identify correlations between the genetic variants and an observable characteristic such as a disease. Previous works presented privacy-prese…
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
Túlio Pascoal, Jérémie Decouchant, Antoine Boutet +1
Genome-wide Association Studies (GWASes) identify genomic variations that are statistically associated with a trait, such as a disease, in a group of individuals. Unfortunately, ca…
Distributed Attestation Revocation in Self-Sovereign Identity
Rowdy Chotkan, Jérémie Decouchant, Johan Pouwelse
Self-Sovereign Identity (SSI) aspires to create a standardised identity layer for the Internet by placing citizens at the centre of their data, thereby weakening the grip of big te…
SyncPCN/PSyncPCN: Payment Channel Networks without Blockchain Synchrony
Oğuzhan Ersoy, Jérémie Decouchant, Satwik Prabhu Kimble +1
Payment channel networks (PCNs) enhance the scalability of blockchains by allowing parties to conduct transactions off-chain, i.e, without broadcasting every transaction to all blo…
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federico Lucchetti, Jérémie Decouchant, Maria Fernandes +2
Federated learning allows clients to collaboratively train models on datasets that are acquired in different locations and that cannot be exchanged because of their size or regulat…
AGIC: Approximate Gradient Inversion Attack on Federated Learning
Jin Xu, Chi Hong, Jiyue Huang +2
Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to…
Practical Byzantine Reliable Broadcast on Partially Connected Networks (Extended version)
Silvia Bonomi, Jérémie Decouchant, Giovanni Farina +2
In this paper, we consider the Byzantine reliable broadcast problem on authenticated and partially connected networks. The state-of-the-art method to solve this problem consists in…
PISTIS: An Event-Triggered Real-Time Byzantine-Resilient Protocol Suite
David Kozhaya, Jeremie Decouchant, Vincent Rahli +1
The accelerated digitalisation of society along with technological evolution have extended the geographical span of cyber-physical systems. Two main threats have made the reliable…
PriLok: Citizen-protecting distributed epidemic tracing
Paulo Esteves-Verissimo, Jérémie Decouchant, Marcus Völp +2
Contact tracing is an important instrument for national health services to fight epidemics. As part of the COVID-19 situation, many proposals have been made for scaling up contract…
RT-ByzCast: Byzantine-Resilient Real-Time Reliable Broadcast
David Kozhaya, Jérémie Decouchant, Paulo Esteves-Verissimo
Today's cyber-physical systems face various impediments to achieving their intended goals, namely, communication uncertainties and faults, relative to the increased integration of…