| {XRay}: Enhancing the {Web’s} Transparency with Differential Correlation M Lécuyer, G Ducoffe, F Lan, A Papancea, T Petsios, R Spahn, ... 23rd USENIX Security Symposium (USENIX Security 14), 49-64, 2014 | 163 | 2014 |
| Sunlight: Fine-grained targeting detection at scale with statistical confidence M Lecuyer, R Spahn, Y Spiliopolous, A Chaintreau, R Geambasu, D Hsu Proceedings of the 22nd ACM SIGSAC conference on computer and communications …, 2015 | 94 | 2015 |
| Privacy accounting and quality control in the sage differentially private ML platform M Lécuyer, R Spahn, K Vodrahalli, R Geambasu, D Hsu Proceedings of the 27th ACM Symposium on Operating Systems Principles, 181-195, 2019 | 50 | 2019 |
| Nv: Nessus vulnerability visualization for the web L Harrison, R Spahn, M Iannacone, E Downing, JR Goodall Proceedings of the ninth international symposium on visualization for cyber …, 2012 | 44 | 2012 |
| Pebbles:{Fine-Grained} Data Management Abstractions for Modern Operating Systems R Spahn, J Bell, M Lee, S Bhamidipati, R Geambasu, G Kaiser 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2014 | 37 | 2014 |
| Enhancing selectivity in big data M Lecuyer, R Spahn, R Geambasu, TK Huang, S Sen IEEE Security & Privacy 16 (1), 34-42, 2018 | 19 | 2018 |
| Pyramid: Enhancing selectivity in big data protection with count featurization M Lecuyer, R Spahn, R Geambasu, TK Huang, S Sen 2017 IEEE Symposium on Security and Privacy (SP), 78-95, 2017 | 13 | 2017 |
| situ: Situational understanding and discovery for cyber attacks L Harrison, J Laska, R Spahn, M Iannacone, E Downing, EM Ferragut, ... 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 307-308, 2012 | 12 | 2012 |
| New Data Protection Abstractions for Emerging Mobile and Big Data Workloads R Spahn Columbia University, 2020 | | 2020 |
