situ: Situational understanding and discovery for cyber attacks. - Lane Harrison; Jason A. Laska; Riley Spahn; Michael D. Iannacone; Evan Downing; Erik M. Ferragut; John R. Goodall (IEEE VAST, 2012)

NV: Nessus vulnerability visualization for the web. - Lane Harrison; Riley Spahn; Michael D. Iannacone; Evan Downing; John R. Goodall (VizSEC, 2012)

Pebbles: Fine-Grained Data Management Abstractions for Modern Operating Systems. - Riley Spahn; Jonathan Bell 001; Michael Lee; Sravan Bhamidipati; Roxana Geambasu; Gail E. Kaiser (OSDI, 2014)

XRay: Enhancing the Web's Transparency with Differential Correlation. - Mathias Lécuyer; Guillaume Ducoffe; Francis Lan; Andrei Papancea; Theofilos Petsios; Riley Spahn; Augustin Chaintreau; Roxana Geambasu (USENIX Security Symposium, 2014)

Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence. - Mathias Lécuyer; Riley Spahn; Yannis Spiliopolous; Augustin Chaintreau; Roxana Geambasu; Daniel J. Hsu (CCS, 2015)

Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. - Mathias Lécuyer; Riley Spahn; Roxana Geambasu; Tzu-Kuo Huang; Siddhartha Sen 001 (IEEE Symposium on Security and Privacy, 2017)

Enhancing Selectivity in Big Data. - Mathias Lécuyer; Riley Spahn; Roxana Geambasu; Tzu-Kuo Huang; Siddhartha Sen 001 (IEEE Secur. Priv., 2018)

Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. - Mathias Lécuyer; Riley Spahn; Kiran Vodrahalli; Roxana Geambasu; Daniel Hsu 001 (ACM SIGOPS Oper. Syst. Rev., 2019)

New Data Protection Abstractions for Emerging Mobile and Big Data Workloads. - Riley Spahn (2020)