activity
20192023
most citedBeyond content analysis: Detecting targeted ads via distributed counting

22 citations · 72 across the 10 of their papers we have counts for

collaborators

10 papers

physics.soc-ph2023★ 8 cited

Fundamental dynamics of popularity-similarity trajectories in real networks

Evangelos S. Papaefthymiou, Costas Iordanou, Fragkiskos Papadopoulos

Real networks are complex dynamical systems, evolving over time with the addition and deletion of nodes and links. Currently, there exists no principled mathematical theory for the…

cs.CR2022★ 16 cited

Securing Federated Sensitive Topic Classification against Poisoning Attacks

Tianyue Chu, Alvaro Garcia-Recuero, Costas Iordanou +2

We present a Federated Learning (FL) based solution for building a distributed classifier capable of detecting URLs containing GDPR-sensitive content related to categories such as…

cs.SI2021★ 2 cited

Topology and Geometry of the Third-Party Domains Ecosystem: Measurement and Applications

Costas Iordanou, Fragkiskos Papadopoulos

Over the years, web content has evolved from simple text and static images hosted on a single server to a complex, interactive and multimedia-rich content hosted on different serve…

cs.CY2021★ 1 cited

What Is the Price of Data? A Measurement Study of Commercial Data Marketplaces

Santiago Andrés Azcoitia, Costas Iordanou, Nikolaos Laoutaris

A large number of Data Marketplaces (DMs) have appeared in the last few years to help owners monetise their data, and data buyers fuel their marketing process, train their ML model…

cs.SI2021

A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations

Marius Paraschiv, Nikos Salamanos, Costas Iordanou +2

As recent events have demonstrated, disinformation spread through social networks can have dire political, economic and social consequences. Detecting disinformation must inevitabl…

cs.HC2021★ 19 cited

My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking

Luis A. Leiva, Ioannis Arapakis, Costas Iordanou

This paper aims to stir debate about a disconcerting privacy issue on web browsing that could easily emerge because of unethical practices and uncontrolled use of technology. We de…

cs.AR2020★ 1 cited

Design of a Near-Ideal Fault-Tolerant Routing Algorithm for Network-on-Chip-Based Multicores

Costas Iordanou, Vassos Soteriou, Konstantinos Aisopos

With relentless CMOS technology downsizing Networks-on-Chips (NoCs) are inescapably experiencing escalating susceptibility to wearout and reduced reliability. While faults in proce…

cs.SI2020★ 1 cited

Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter

Nikos Salamanos, Michael J. Jensen, Costas Iordanou +1

It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presidential election, spreading millions of tweets with misinformation and inflammat…

cs.CR2019★ 2 cited

Who's Tracking Sensitive Domains?

Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris

We turn our attention to the elephant in the room of data protection, which is none other than the simple and obvious question: "Who's tracking sensitive domains?". Despite a fast-…

cs.CY2019★ 22 cited

Beyond content analysis: Detecting targeted ads via distributed counting

Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa +3

Being able to check whether an online advertisement has been targeted is essential for resolving privacy controversies and implementing in practice data protection regulations like…