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20172023
most citedEvaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches

62 citations · 274 across the 31 of their papers we have counts for

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Showing cs.CRShow all

9 papers · 1 filter

cs.CR2023★ 1 cited

A Study of MEV Extraction Techniques on a First-Come-First-Served Blockchain

Burak Öz, Filip Rezabek, Jonas Gebele +2

Maximal Extractable Value (MEV) has become a significant incentive on blockchain networks, referring to the value captured through the manipulation of transaction execution order a…

cs.CR2023★ 1 cited

Time Moves Faster When There is Nothing You Anticipate: The Role of Time in MEV Rewards

Burak Öz, Benjamin Kraner, Nicolò Vallarano +3

This study explores the intricacies of waiting games, a novel dynamic that emerged with Ethereum's transition to a Proof-of-Stake (PoS)-based block proposer selection protocol. Wit…

cs.CR2023★ 2 cited

Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance

Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes

Modern privacy regulations provide a strict mandate for data processing entities to implement appropriate technical measures to demonstrate compliance. In practice, determining wha…

cs.CR2022★ 4 cited

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes +1

Since its introduction in 2006, differential privacy has emerged as a predominant statistical tool for quantifying data privacy in academic works. Yet despite the plethora of resea…

cs.CR2022★ 9 cited

Exploring privacy-enhancing technologies in the automotive value chain

Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow +3

Privacy-enhancing technologies (PETs) are becoming increasingly crucial for addressing customer needs, security, privacy (e.g., enhancing anonymity and confidentiality), and regula…

cs.CR2022

Exponential Randomized Response: Boosting Utility in Differentially Private Selection

Gonzalo Munilla Garrido, Florian Matthes

A differentially private selection algorithm outputs from a finite set the item that approximately maximizes a data-dependent quality function. The most widely adopted mechanisms t…

cs.CR2021★ 1 cited

Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries

Gonzalo Munilla Garrido, Joseph Near, Aitsam Muhammad +3

An increasing number of open-source libraries promise to bring differential privacy to practice, even for non-experts. This paper studies five libraries that offer differentially p…

cs.CR2021

Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review

Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludağ +3

IoT data markets in public and private institutions have become increasingly relevant in recent years because of their potential to improve data availability and unlock new busines…

cs.CR2020★ 2 cited

AuthSC: Mind the Gap between Web and Smart Contracts

Ulrich Gallersdörfer, Florian Matthes

Although almost all information about Smart Contract addresses is shared via websites, emails, or other forms of digital communication, Blockchains and distributed ledger technolog…