4 papers
ScamDetect: Towards a Robust, Agnostic Framework to Uncover Threats in Smart Contracts
Pasquale De Rosa, Pascal Felber, Valerio Schiavoni
Smart contracts have transformed decentralized finance by enabling programmable, trustless transactions. However, their widespread adoption and growing financial significance have…
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…
CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques
Pasquale De Rosa, Pascal Felber, Valerio Schiavoni
This paper introduces CryptoAnalytics, a software toolkit for cryptocoins price forecasting with machine learning (ML) techniques. Cryptocoins are tradable digital assets exchanged…