10 citations · 12 across the 4 of their papers we have counts for
4 papers
Neural Network Tomography
Liang Ma, Ziyao Zhang, Mudhakar Srivatsa
Network tomography, a classic research problem in the realm of network monitoring, refers to the methodology of inferring unmeasured network attributes using selected end-to-end pa…
neuralRank: Searching and ranking ANN-based model repositories
Nirmit Desai, Linsong Chu, Raghu K. Ganti +2
Widespread applications of deep learning have led to a plethora of pre-trained neural network models for common tasks. Such models are often adapted from other models via transfer…
Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery
Archith J. Bency, Swati Rallapalli, Raghu K. Ganti +2
When modeling geo-spatial data, it is critical to capture spatial correlations for achieving high accuracy. Spatial Auto-Regression (SAR) is a common tool used to model such data,…
Quantifying Information Leakage in Finite Order Deterministic Programs
Ji Zhu, Mudhakar Srivatsa
Information flow analysis is a powerful technique for reasoning about the sensitive information exposed by a program during its execution. While past work has proposed information…