activity
20142023
most citedCharacterising Third Party Cookie Usage in the EU after GDPR

40 citations · 350 across the 32 of their papers we have counts for

collaborators
Showing cs.CYShow all

7 papers · 1 filter

cs.CY2022★ 8 cited

Toxicity in the Decentralized Web and the Potential for Model Sharing

Haris Bin Zia, Aravindh. Raman, Ignacio Castro +4

The "Decentralised Web" (DW) is an evolving concept, which encompasses technologies aimed at providing greater transparency and openness on the web. The DW relies on independent se…

cs.CY2022★ 10 cited

"Way back then": A Data-driven View of 25+ years of Web Evolution

Vibhor Agarwal, Nishanth Sastry

Since the inception of the first web page three decades back, the Web has evolved considerably, from static HTML pages in the beginning to the dynamic web pages of today, from main…

cs.CY2021★ 5 cited

Exploring Content Moderation in the Decentralised Web: The Pleroma Case

Anaobi Ishaku Hassan, Aravindh Raman, Ignacio Castro +4

Decentralising the Web is a desirable but challenging goal. One particular challenge is achieving decentralised content moderation in the face of various adversaries (e.g. trolls).…

cs.CY2021

Under the Spotlight: Web Tracking in Indian Partisan News Websites

Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal +5

India is experiencing intense political partisanship and sectarian divisions. The paper performs, to the best of our knowledge, the first comprehensive analysis on the Indian onlin…

cs.CY2021

Differential Tracking Across Topical Webpages of Indian News Media

Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal +4

Online user privacy and tracking have been extensively studied in recent years, especially due to privacy and personal data-related legislations in the EU and the USA, such as the…

cs.CY2020

Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites

Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos +2

Websites with hyper-partisan, left or right-leaning focus offer content that is typically biased towards the expectations of their target audience. Such content often polarizes use…

cs.CY2020★ 40 cited

FaceLift: A transparent deep learning framework to beautify urban scenes

Sagar Joglekar, Daniele Quercia, Miriam Redi +3

In the area of computer vision, deep learning techniques have recently been used to predict whether urban scenes are likely to be considered beautiful: it turns out that these tech…