6 papers
SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
Mohoshin Ara Tahera, Karamveer Singh Sidhu, Shuvalaxmi Dass +1
Large Language Models (LLMs) are increasingly adopted in healthcare to support clinical decision-making, summarize electronic health records (EHRs), and enhance patient care. Howev…
A Critical Study towards the Detection of Parkinsons Disease using ML Technologies
Vivek Chetia, Abdul Taher Khan, Rahish Gogoi +3
The proposed solution is Deep Learning Technique that will be able classify three types of tea leaves diseases from which two diseases are caused by the pests and one due to pathog…
A Critical Study on Tea Leaf Disease Detection using Deep Learning Techniques
Nabajyoti Borah, Raju Moni Borah, Bandan Boruah +3
The proposed solution is Deep Learning Technique that will be able classify three types of tea leaves diseases from which two diseases are caused by the pests and one due to pathog…
Integrating Linguistics and AI: Morphological Analysis and Corpus development of Endangered Toto Language of West Bengal
Ambalika Guha, Sajal Saha, Debanjan Ballav +2
Preserving linguistic diversity is necessary as every language offers a distinct perspective on the world. There have been numerous global initiatives to preserve endangered langua…
Blockchain Signatures to Ensure Information Integrity and Non-Repudiation in the Digital Era: A comprehensive study
Kaveri Banerjee, Sajal Saha
Blockchain systems rely on decentralized ledgers and strong security guarantees. A key requirement is non-repudiation, which prevents denial of transaction authorship and supports…
An Ensembled Penalized Federated Learning Framework for Falling People Detection
Sizhe Rao, Runqiu Zhang, Sajal Saha +1
Falls among elderly and disabled individuals remain a leading cause of injury and mortality worldwide, necessitating robust, accurate, and privacy-aware fall detection systems. Tra…