5 papers
Graph Reconstruction from Differentially Private GNN Explanations
Rishi Raj Sahoo, Jyotirmaya Shivottam, Subhankar Mishra
Regulatory frameworks such as GDPR increasingly require that ML predictions be accompanied by post-hoc explanations, even when raw data and trained models cannot be released. Diffe…
GRAFT: Auditing Graph Neural Networks via Global Feature Attribution
Rishi Raj Sahoo, Subhankar Mishra
Graph Neural Networks (GNNs) achieve strong performance on node classification tasks but remain difficult to interpret, particularly with respect to which input features drive thei…
iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance
Rishi Raj Sahoo, Surbhi Saswati Mohanty, Subhankar Mishra
Road potholes pose significant safety hazards and maintenance challenges, particularly on India's diverse and under-maintained road networks. This paper presents iWatchRoadv2, a fu…
iWatchRoad: Scalable Detection and Geospatial Visualization of Potholes for Smart Cities
Rishi Raj Sahoo, Surbhi Saswati Mohanty, Subhankar Mishra
Potholes on the roads are a serious hazard and maintenance burden. This poses a significant threat to road safety and vehicle longevity, especially on the diverse and under-maintai…
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels
Rishi Raj Sahoo, Rucha Bhalchandra Joshi, Subhankar Mishra
Graph Neural Networks (GNNs) achieve high performance across many applications but function as black-box models, limiting their use in critical domains like healthcare and criminal…