5 papers
Quality Assessment of Tabular Data using Large Language Models and Code Generation
Ashlesha Akella, Akshar Kaul, Krishnasuri Narayanam +1
Reliable data quality is crucial for downstream analysis of tabular datasets, yet rule-based validation often struggles with inefficiency, human intervention, and high computationa…
Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling
Akshar Kaul, Manish Kesarwani, Hong Min +1
Diagnostic data such as logs and memory dumps from production systems are often shared with development teams to do root cause analysis of system crashes. Invariably such diagnosti…
Secure k-Anonymization over Encrypted Databases
Manish Kesarwani, Akshar Kaul, Stefano Braghin +2
Data protection algorithms are becoming increasingly important to support modern business needs for facilitating data sharing and data monetization. Anonymization is an important s…
Secure Hypersphere Range Query on Encrypted Data
Gagandeep Singh, Akshar Kaul
Spatial queries like range queries, nearest neighbor, circular range queries etc. are the most widely used queries in the location-based applications. Building secure and efficient…
Secure k-NN as a Service Over Encrypted Data in Multi-User Setting
Gagandeep Singh, Akshar Kaul, Sameep Mehta
To securely leverage the advantages of Cloud Computing, recently a lot of research has happened in the area of "Secure Query Processing over Encrypted Data". As a concrete use case…