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Lukasz Olejnik
Security, Privacy & Tech Inquiries

Posts for "privacy engineering"

Total 22 Posts

Biggest Privacy Erosion in 10 Years? On Google’s Policy Change Towards Fingerprinting

While I once hoped 2017 would be the year of privacy, 2024 closes on a troubling note, a likely decrease in privacy standards across the web. I was surprised by the recent Information Commissioner’s Office post, which criticized Google’s decision to introduce device fingerprinting for advertising purposes from Read More

Initial privacy analysis of Google’s Privacy Sandbox - Federated Learning of Cohorts leaking information about browsing in incognito mode

Digital web advertising is an ecosystem undergoing strategic changes. Google’s Privacy Sandbox is promising to redesign web advertising technology in ways that will respect user’s privacy, including based on some previous designs. Detailed technically-enabled analysis should wait until more design features are known. In this post I focus Read More

Privacy and freedoms consideration of Covid-19 health passports or certificates

This post describes some of the technologies that are or may be used, as well as the ideas of improving the privacy stance of such a certificate/passports technology. Treat it as a standardisation and food-for-thoughts consideration, with a view towards privacy-preserving Covid19 health certificates or ‘passports’. It seems that Read More

Are we reaching privacy preserving digital advertising? Historical view

We may be in the middle of a  process of redesigning how the web economy functions. Considerations include web advertisements. Such works involve many actors. Some big platforms. Some web browser vendors. Some ads companies, with a modest list of analysts or researchers keeping a close eye. I believe it’ Read More

On privacy and algorithmic fairness of machine learning and artificial intelligence

When big chunks of user data collected on an industrial scale continue to induce constant privacy concerns, the need to seriously address problems of privacy and data protection with respect to data processing is important as never before. Data is increasingly fed into machine learning models (i.e. “artificial intelligence” Read More

Shedding light on designing web features with privacy: risks, impact assessments, case study

This post is built around my paper (presented to/at the International Workshop on Privacy Engineering) devoted to privacy assessment in web standards. After the previous one (Battery Status Not Included: Assessing Privacy in W3C Web Standards) this is the next insight in this domain. While I point out the Read More

Stealing sensitive browser data with the W3C Ambient Light Sensor API

In this post we describe and demonstrate a neat trick to exfiltrate sensitive information from your browser using a surprising tool: your smartphone or laptop’s ambient light sensor. In short: 1. We provide background about the light sensor API and current discussions to expose it more broadly to websites. Read More

Privacy Engineering Principles Recommended by NIST

Understanding and perceiving privacy as a technological and strategic aspect is becoming a standard practice. The recently published NIST Internal Report “An Introduction to Privacy Engineering and Risk Management” is an interesting attempt to systematize the understanding of privacy engineering. Privacy in this view forms an important technical and strategic Read More