Fast and Accurate Document Detection for Scanning
Cannes: How ML saves us $1.7M a year on document previews
How image search works at Dropbox
Optimizing payments with machine learning
Accelerating our A/B experiments with machine learning
Don't you (forget NLP): Prompt injection with control characters in ChatGPT
Is this a date? Using ML to identify date formats in file names
Putting everything in its right place with ML-powered file organization
Smart move uses machine learning to analyze a user’s existing subfolder structure and suggest folders where they might want to move their files. Here's how the feature was built.
Bye Bye Bye...: Evolution of repeated token attacks on ChatGPT models
Building on prior prompt injection research, we recently discovered a new training data extraction vulnerability involving OpenAI’s chat completion models.
Bringing AI-powered answers and summaries to file previews on the web
Selecting a model for semantic search at Dropbox scale
Nautilus is our search engine for finding documents and other files in Dropbox. Here's how it created the foundation for us to build better search functionality to understand more nuanced queries.
zxcvbn: realistic password strength estimation
Implementing end-to-end encryption for Dropbox teams
Learn more about our implementation of end-to-end encryption for teams, the threat model of our design and encryption algorithms, and our commitment to minimizing the risk of data loss with a team-centric key management approach.
Inside the Magic Pocket
Optimizing web servers for high throughput and low latency
Rewriting the heart of our sync engine
Testing sync at Dropbox
How we migrated Dropbox from Nginx to Envoy
Broccoli: Syncing faster by syncing less
How we designed Dropbox’s ATF - an async task framework
Alki, or how we learned to stop worrying and love cold metadata
Lessons learned in incident management
