Awesome Cybersecurity
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Ryan Rogers — most-cited papers & profile · Cybersecurity
← authors
·
overview
Ryan Rogers
12
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
2016
Privacy Odometers and Filters: Pay-as-you-Go Composition
2016
A New Class of Private Chi-Square Tests
2016
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity
2019
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
2020
Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics
2020
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale
2020
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown
2021
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
2022
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
2023
A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy
2023
Private Count Release: A Simple and Scalable Approach for Private Data Analytics
2024
Top co-authors
Adrian Rivera Cardoso
· 2
David Durfee
· 2
Parvez Ahammad
· 2
Salil Vadhan
· 2
Aaditya Ramdas
· 1
Aaron Roth
· 1
Abhradeep Thakurta
· 1
Akash Kaura
· 1
Andreas Terzis
· 1
Damien Desfontaines
· 1
Daniel Kifer
· 1
David Evans
· 1
Topics
Privacy
cs.CR
cs.DS
cs.LG
stat.ML