activity
20222024
most citedStarlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024

Verifiable Homomorphic Linear Combinations in Multi-Instance Time-Lock Puzzles

Aydin Abadi

Time-Lock Puzzles (TLPs) have been developed to securely transmit sensitive information into the future without relying on a trusted third party. Multi-instance TLP is a scalable v…

cs.LG20247 cited

Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection

Aydin Abadi, Bradley Doyle, Francesco Gini +9

Federated Learning (FL) is a data-minimization approach enabling collaborative model training across diverse clients with local data, avoiding direct data exchange. However, state-…

cs.CR2023

Safeguarding Physical Sneaker Sale Through a Decentralized Medium

Marwan Zeggari, Aydin Abadi, Renaud Lambiotte +1

Sneakers were designated as the most counterfeited fashion item online, with three times more risk in a trade than any other fashion purchase. As the market expands, the current sn…

cs.CR2022

Glass-Vault: A Generic Transparent Privacy-preserving Exposure Notification Analytics Platform

Lorenzo Martinico, Aydin Abadi, Thomas Zacharias +1

The highly transmissible COVID-19 disease is a serious threat to people's health and life. To automate tracing those who have been in close physical contact with newly infected peo…

cs.CR20221 cited

A Forward-secure Efficient Two-factor Authentication Protocol

Steven J. Murdoch, Aydin Abadi

Two-factor authentication (2FA) schemes that rely on a combination of knowledge factors (e.g., PIN) and device possession have gained popularity. Some of these schemes remain secur…