184 citations · 226 across the 7 of their papers we have counts for
8 papers
Microbenchmarking Cloud Cryptographic Workloads for Privacy-Preserving Healthcare IoT
Jeremiah L. Webb, Laxima Niure Kandel, Deepti Gupta +1
Cryptographic operations are an essential component of cloud security architectures; their comprehensive performance characterization across different cloud services, hardware arch…
Modeling Romanized Hindi and Bengali: Dataset Creation and Multilingual LLM Integration
Kanchon Gharami, Quazi Sarwar Muhtaseem, Deepti Gupta +2
The development of robust transliteration techniques to enhance the effectiveness of transforming Romanized scripts into native scripts is crucial for Natural Language Processing t…
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction
Leon Garza, Anantaa Kotal, Aritran Piplai +3
Redacting Personally Identifiable Information (PII) from unstructured text is critical for ensuring data privacy in regulated domains. While earlier approaches have relied on rule-…
Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls
Deepti Gupta, Lavanya Elluri, Avi Jain +2
In an era of heightened digital interconnectedness, businesses increasingly rely on third-party vendors to enhance their operational capabilities. However, this growing dependency…
PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
Leon Garza, Lavanya Elluri, Anantaa Kotal +3
Data protection and privacy is becoming increasingly crucial in the digital era. Numerous companies depend on third-party vendors and service providers to carry out critical functi…
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
Anantaa Kotal, Lavanya Elluri, Deepti Gupta +2
Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The…
Recent Advancements in Machine Learning For Cybercrime Prediction
Lavanya Elluri, Varun Mandalapu, Piyush Vyas +1
Cybercrime is a growing threat to organizations and individuals worldwide, with criminals using sophisticated techniques to breach security systems and steal sensitive data. This p…
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
Varun Mandalapu, Lavanya Elluri, Piyush Vyas +1
Predicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends…