Konrad Kollnig
Biographic Data
| ID | 8648399 |
|---|---|
| NAME | Konrad Kollnig |
| GIVEN NAMES | Konrad |
| FAMILY NAME | Kollnig |
| SIGNATURE | KOLLNIG K |
| AFFILIATIONS | Maastricht University |
| ORCID | 0000-0002-7412-8731 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Missing the Mark
AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI‐generated nature, has emerged as a primary mechanism to address these risks. Indeed, watermarking and AI lab…
From procedures to peril
Information privacy is an integral part of users' lives, as many digital services and their business models heavily rely on personal data. For example, conversational agents will use massive amounts of user conversations to hyper-personalize ads. Although privacy information is provided through policies and app notifications, and regulation increasingly adopts risk-based approaches, users remain largely uncertain about the risks they face. Design…
Regulating pressing systemic risks – but not too soon
Online platforms have transformed how we live. This has raised concerns around how such platforms impact citizens’ constitutionally-protected rights and freedoms, such as the freedom of expression and information, right to privacy, and protection from discrimination. To hold online platforms to account, researchers need access to platform data but this has proved to be difficult in the past. In response, the EU’s 2022 Digital Services Act (DSA) i…
Towards responsible, lawful and ethical data processing
In May 2021, the UK National Health Service (NHS) proposed a scheme-called General Practice Data for Planning Research (GPDPR)-for sharing patients' data. Under that system, a patient who does not wish to participate must actively opt out of their data being shared with third parties for research and other purposes. In this paper, we analyse the lessons that can be learned for the responsible and ethical governance of health data from the NHS' ne…
Before and after GDPR
Third-party tracking, the collection and sharing of behavioural data about individuals, is a significant and ubiquitous privacy threat in mobile apps. The EU General Data Protection Regulation (GDPR) was introduced in 2018 to protect personal data better, but there exists, thus far, limited empirical evidence about its efficacy. This paper studies tracking in nearly two million Android apps from before and after the introduction of the GDPR. Our …
No prominent works on this page.
Before and after GDPR
Third-party tracking, the collection and sharing of behavioural data about individuals, is a significant and ubiquitous privacy threat in mobile apps. The EU General Data Protection Regulation (GDPR) was introduced in 2018 to protect personal data better, but there exists, thus far, limited empirical evidence about its efficacy. This paper studies tracking in nearly two million Android apps from before and after the introduction of the GDPR. Our …
Towards responsible, lawful and ethical data processing
In May 2021, the UK National Health Service (NHS) proposed a scheme-called General Practice Data for Planning Research (GPDPR)-for sharing patients' data. Under that system, a patient who does not wish to participate must actively opt out of their data being shared with third parties for research and other purposes. In this paper, we analyse the lessons that can be learned for the responsible and ethical governance of health data from the NHS' ne…
Regulating pressing systemic risks – but not too soon
Online platforms have transformed how we live. This has raised concerns around how such platforms impact citizens’ constitutionally-protected rights and freedoms, such as the freedom of expression and information, right to privacy, and protection from discrimination. To hold online platforms to account, researchers need access to platform data but this has proved to be difficult in the past. In response, the EU’s 2022 Digital Services Act (DSA) i…
Missing the Mark
AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI‐generated nature, has emerged as a primary mechanism to address these risks. Indeed, watermarking and AI lab…
From procedures to peril
Information privacy is an integral part of users' lives, as many digital services and their business models heavily rely on personal data. For example, conversational agents will use massive amounts of user conversations to hyper-personalize ads. Although privacy information is provided through policies and app notifications, and regulation increasingly adopts risk-based approaches, users remain largely uncertain about the risks they face. Design…
Business (2 works) · Computer Science (2 works) · Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Privacy, Security, and Data Protection (2 works) · Psychology (2 works) · User Authentication and Security Systems (2 works) · Activity tracker (1 work) · Advanced Malware Detection Techniques (1 work) · Adversarial Robustness in Machine Learning (1 work)