activity
20182025
most citedWhen Machine Learning Meets Privacy: A Survey and Outlook

97 citations · 136 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CY2023

ILB: Graph Neural Network Enabled Emergency Demand Response Program For Electricity

Sina Shaham, Bhaskar Krishnamachari, Matthew Kahn

Demand Response (DR) programs have become a crucial component of smart electricity grids as they shift the flexibility of electricity consumption from supply to demand in response…

cs.LG2023★ 4 cited

Holistic Survey of Privacy and Fairness in Machine Learning

Sina Shaham, Arash Hajisafi, Minh K Quan +6

Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and trustworthy Machine Learning (ML). Each objective has been independently studied in the…

cs.LG2023★ 5 cited

Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting

Arash Hajisafi, Haowen Lin, Sina Shaham +4

Forecasting the number of visits to Points-of-Interest (POI) in an urban area is critical for planning and decision-making for various application domains, from urban planning and…

cs.LG2023

Fair Spatial Indexing: A paradigm for Group Spatial Fairness

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Machine learning (ML) is playing an increasing role in decision-making tasks that directly affect individuals, e.g., loan approvals, or job applicant screening. Significant concern…

cs.CR2023★ 1 cited

Supporting Secure Dynamic Alert Zones Using Searchable Encryption and Graph Embedding

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Location-based alerts have gained increasing popularity in recent years, whether in the context of healthcare (e.g., COVID-19 contact tracing), marketing (e.g., location-based adve…