# Browser Fingerprinting: A survey

arXiv: https://arxiv.org/abs/1905.01051 · HTML: https://mlsanity.com/paper/1905.01051/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 May 2019.

## Built on by (most cited first, 5 of 5)

- [Generating Phishing Attacks using ChatGPT](https://mlsanity.com/paper/2305.05133/) (2023)
- [Measuring Re-identification Risk](https://mlsanity.com/paper/2304.07210/) (2023)
- [FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning](https://mlsanity.com/paper/2512.10296/) (2025)
- [Predicting Process Name from Network Data](https://mlsanity.com/paper/2109.03328/) (2021)
- [Differentially Private Synthetic Data Release for Topics API Outputs](https://mlsanity.com/paper/2506.23855/) (2025)

## Abstract (arXiv)

With this paper, we survey the research performed in the domain of browser fingerprinting, while providing an accessible entry point to newcomers in the field. We explain how this technique works and where it stems from. We analyze the related work in detail to understand the composition of modern fingerprints and see how this technique is currently used online. We systematize existing defense solutions into different categories and detail the current challenges yet to overcome.