6 citations · 13 across the 7 of their papers we have counts for
7 papers
Cheating in Multiplayer Online Games: a Dataset
Hugo Bertin, Marc Dacier, Yérom-David Bromberg
Cheating poses a significant threat to the Multiplayer Online Games (MOG) industry by degrading player satisfaction and undermining the fairness in competitive gaming. Despite effo…
PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
Pasquale De Rosa, Simon Queyrut, Yérom-David Bromberg +2
The Ethereum Virtual Machine (EVM) is a decentralized computing engine. It enables the Ethereum blockchain to execute smart contracts and decentralized applications (dApps). The in…
On the Cost of Model-Serving Frameworks: An Experimental Evaluation
Pasquale De Rosa, Yérom-David Bromberg, Pascal Felber +2
In machine learning (ML), the inference phase is the process of applying pre-trained models to new, unseen data with the objective of making predictions. During the inference phase…
Partition Detection in Byzantine Networks
Yérom-David Bromberg, Jérémie Decouchant, Manon Sourisseau +1
Detecting and handling network partitions is a fundamental requirement of distributed systems. Although existing partition detection methods in arbitrary graphs tolerate unreliable…
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni
The main premise of federated learning is that machine learning model updates are computed locally, in particular to preserve user data privacy, as those never leave the perimeter…
: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks
Alex Auvolat, Yérom-David Bromberg, Davide Frey +1
Recent works have proposed new Byzantine consensus algorithms for blockchains based on epidemics, a design which enables highly scalable performance at a low cost. These methods ho…