1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2025
Quantifying Mix Network Privacy Erosion with Generative Models
Vasilios Mavroudis, Tariq Elahi
Modern mix networks improve over Tor and provide stronger privacy guarantees by robustly obfuscating metadata. As long as a message is routed through at least one honest mixnode, t…
cs.LG2023★ 1 cited
Accelerated Shapley Value Approximation for Data Evaluation
Lauren Watson, Zeno Kujawa, Rayna Andreeva +3
Data valuation has found various applications in machine learning, such as data filtering, efficient learning and incentives for data sharing. The most popular current approach to…
cs.CR2023
VeraSel: Verifiable Random Selection for Mixnets Construction
Xinshu Ma, Florentin Rochet, Tariq Elahi
The security and performance of Mixnets depends on the trustworthiness of the Mixnodes in the network. The challenge is to limit the adversary's influence on which Mixnodes operate…