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Career
·
Bachelor of Science
,
Auburn University
2013–
·
Ph.D. Candidate
,
Columbia University
2013–2019
·
Software Engineer
,
Cloudflare
·
Ph.D. Fellowship Recipient
,
Google
Publications
(11)
XRay: Enhancing the Web's Transparency with Differential Correlation
USENIX Security Symposium · 2014
124
cited
Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence
Conference on Computer and Communications Security · 2015
79
cited
Privacy accounting and quality control in the sage differentially private ML platform
ACM SIGOPS Operating Systems Review · 2019
50
cited
Pebbles: Fine-Grained Data Management Abstractions for Modern Operating Systems
USENIX Symposium on Operating Systems Design and Implementation · 2014
34
cited
NV: Nessus vulnerability visualization for the web
Visualization for Computer Security · 2012
24
cited
situ: Situational understanding and discovery for cyber attacks
IEEE VAST · 2012
12
cited
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
IEEE Symposium on Security and Privacy · 2017
9
cited
Enhancing Selectivity in Big Data
IEEE Security and Privacy · 2018
8
cited
Bipath : Just-InTime Incremental Symbolic Execution
2014
New Data Protection Abstractions for Emerging Mobile and Big Data Workloads
2020
Sotabase
Riley Spahn | Researcher Profile | Sotabase | Sotabase