# Practical Considerations for Differential Privacy

arXiv: https://arxiv.org/abs/2408.07614 · HTML: https://mlsanity.com/paper/2408.07614/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Aug 2024.

## Built on by (most cited first, 1 of 1)

- [Private Continual Counting of Unbounded Streams](https://mlsanity.com/paper/2506.15018/) (2025)

## Abstract (arXiv)

Differential privacy is the gold standard for statistical data release. Used by governments, companies, and academics, its mathematically rigorous guarantees and worst-case assumptions on the strength and knowledge of attackers make it a robust and compelling framework for reasoning about privacy. However, even with landmark successes, differential privacy has not achieved widespread adoption in everyday data use and data protection. In this work we examine some of the practical obstacles that stand in the way.