Sachin Shetty
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View article: ASTRIDE: A Security Threat Modeling Platform for Agentic-AI Applications
ASTRIDE: A Security Threat Modeling Platform for Agentic-AI Applications Open
AI agent-based systems are becoming increasingly integral to modern software architectures, enabling autonomous decision-making, dynamic task execution, and multimodal interactions through large language models (LLMs). However, these syste…
View article: Towards Reliable Lung Cancer Prediction: A Hybrid Frameworkfor Noise Reduction and Uncertainty Control
Towards Reliable Lung Cancer Prediction: A Hybrid Frameworkfor Noise Reduction and Uncertainty Control Open
Uncertainty remains a critical challenge in healthcare AI, since predictive errors can directly compromise patient safety and undermine trust. Structured clinical datasets in healthcare are frequently characterized by heterogeneous acquisi…
View article: Data-Aware Layer Assignment for Secure and EfficientCommunication in Federated Learning for Medical ImageAnalysis
Data-Aware Layer Assignment for Secure and EfficientCommunication in Federated Learning for Medical ImageAnalysis Open
Cross-silo medical imaging federations must contend with strict privacy, limited bandwidth, and non identically distributed (non-IID) data that destabilize training. Current federated learning (FL) architectures either carry the full model…
View article: Shard-Unlearn: A Sharded Elastic SGD Privacy PreservingFederated Unlearning Framework for 5G-assisted Healthcare
Shard-Unlearn: A Sharded Elastic SGD Privacy PreservingFederated Unlearning Framework for 5G-assisted Healthcare Open
Smart healthcare systems are generating unprecedented volumes of sensitive data, making robust privacy preservation a critical requirement. Traditional machine unlearning (MU) techniques aims to excise specific data points and their statis…
View article: SRE-Llama -- Fine-Tuned Meta's Llama LLM, Federated Learning, Blockchain and NFT Enabled Site Reliability Engineering(SRE) Platform for Communication and Networking Software Services
SRE-Llama -- Fine-Tuned Meta's Llama LLM, Federated Learning, Blockchain and NFT Enabled Site Reliability Engineering(SRE) Platform for Communication and Networking Software Services Open
Software services are crucial for reliable communication and networking; therefore, Site Reliability Engineering (SRE) is important to ensure these systems stay reliable and perform well in cloud-native environments. SRE leverages tools li…
View article: Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks Open
View article: Model Context Contracts - MCP-Enabled Framework to Integrate LLMs With Blockchain Smart Contracts
Model Context Contracts - MCP-Enabled Framework to Integrate LLMs With Blockchain Smart Contracts Open
In recent years, blockchain has experienced widespread adoption across various industries, becoming integral to numerous enterprise applications. Concurrently, the rise of generative AI and LLMs has transformed human-computer interactions,…
View article: Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks Open
Indoor robotic systems within Cyber-Physical Systems (CPS) are increasingly exposed to Denial of Service (DoS) attacks that compromise localization, control and telemetry integrity. We propose a privacy-aware malware detection framework fo…
View article: Role of Liraglutide in weight management and reproductive health in women with obesity and PCOS- A critical review of the evidence
Role of Liraglutide in weight management and reproductive health in women with obesity and PCOS- A critical review of the evidence Open
Obesity and polycystic ovary syndrome (PCOS) in women are associated with significant reproductive dysfunction, manifesting as hormonal imbalances, anovulation, and subfertility. These conditions not only impair reproductive outcomes but a…
View article: Privacy-Preserving Detection of Ghost Job Listings on Freelance Platforms Using Federated Autoencoders
Privacy-Preserving Detection of Ghost Job Listings on Freelance Platforms Using Federated Autoencoders Open
The growing reliance on freelance platforms has led to a surge in ghost job listings—fake or misleading posts that waste freelancers' time, risk data privacy, and disrupt platform trust. Traditional centralized anomaly detection systems po…
View article: Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System
Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System Open
Accurate assessment of neuromuscular reflexes, such as the H-reflex, plays a critical role in sports science, rehabilitation, and clinical neurology. Traditional analysis of H-reflex EMG waveforms is subject to variability and interpretati…
View article: Acute Psychosis Following Initiation of Ruxolitinib in Post-Polycythaemia Vera Myelofibrosis
Acute Psychosis Following Initiation of Ruxolitinib in Post-Polycythaemia Vera Myelofibrosis Open
Polycythaemia vera (PV) is a myeloproliferative neoplasm (MPN) which can progress to myelofibrosis (MF), a phenomenon termed post-PV MF. Ruxolitinib is a Janus activated kinase (JAK) inhibitor that targets JAK mutations and is approved for…
View article: A framework for task offloading in heterogeneous computing applications within the fog RAN architecture
A framework for task offloading in heterogeneous computing applications within the fog RAN architecture Open
Fog Radio Access Network (Fog RAN) has recently emerged as a promising architecture for supporting low-latency applications by bringing fog nodes and cloud resources closer to end users. However, existing research on computational offloadi…
View article: Use of bioaerosol stakeholder mapping and engagement for the development of future strategic collaborations: a UK perspective
Use of bioaerosol stakeholder mapping and engagement for the development of future strategic collaborations: a UK perspective Open
Stakeholder mapping is a process that involves identifying, characterizing and visualizing the connections between stakeholders. It is important to understand the main influencers and those with an interest in or affected by a certain proj…
View article: Real-Time Cyber Attack Prediction Using ML Algorithms
Real-Time Cyber Attack Prediction Using ML Algorithms Open
View article: Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning Open
Federated Learning (FL) is a collaborative learning framework designed to protect client data, yet it remains highly vulnerable to Intellectual Property (IP) threats. Model extraction (ME) attacks pose a significant risk to Machine Learnin…
View article: Proof-of-TBI -- Fine-Tuned Vision Language Model Consortium and OpenAI-o3 Reasoning LLM-Based Medical Diagnosis Support System for Mild Traumatic Brain Injury (TBI) Prediction
Proof-of-TBI -- Fine-Tuned Vision Language Model Consortium and OpenAI-o3 Reasoning LLM-Based Medical Diagnosis Support System for Mild Traumatic Brain Injury (TBI) Prediction Open
Mild Traumatic Brain Injury (TBI) detection presents significant challenges due to the subtle and often ambiguous presentation of symptoms in medical imaging, making accurate diagnosis a complex task. To address these challenges, we propos…
View article: RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment
RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment Open
Internet of Things (IoT) platforms with trigger-action capability allow event conditions to trigger actions in IoT devices autonomously by creating a chain of interactions. Adversaries exploit this chain of interactions to maliciously inje…
View article: Outcomes of Metabolic and Bariatric Surgery in Populations with Obesity and Their Risk of Developing Colorectal Cancer: Where Do We Stand? An Umbrella Review on Behalf of TROGSS—The Robotic Global Surgical Society
Outcomes of Metabolic and Bariatric Surgery in Populations with Obesity and Their Risk of Developing Colorectal Cancer: Where Do We Stand? An Umbrella Review on Behalf of TROGSS—The Robotic Global Surgical Society Open
Introduction: Obesity is a chronic disease associated with increased risk for several cancers, including colorectal cancer (CRC), a leading cause of cancer-related mortality. The majority of CRC cases are associated with modifiable risk fa…
View article: Water Contamination and Groundwater Level Detection using Machine Learning and Internet of Things
Water Contamination and Groundwater Level Detection using Machine Learning and Internet of Things Open
View article: QoS-Aware Link Adaptation for Beyond 5G Networks: A Deep Reinforcement Learning Approach
QoS-Aware Link Adaptation for Beyond 5G Networks: A Deep Reinforcement Learning Approach Open
Modern wireless communication systems face increasingly complex challenges due to rapidly changing channel conditions and the growing diversity of application-specific Quality of Service (QoS) requirements. Traditional link adaptation mech…
View article: Age of Information-Based Optimal Scheduling With Energy Cost Trade-Off for Smart Warehouse: A Deep Reinforcement Learning-Based Approach
Age of Information-Based Optimal Scheduling With Energy Cost Trade-Off for Smart Warehouse: A Deep Reinforcement Learning-Based Approach Open
Recent advances in the integration of high-speed mobile networks and real-time IoT devices have facilitated in building of smart warehouses, where a set of beacons and Internet of Things (IoT) devices (or source nodes) can monitor the stat…
View article: Secure Federated Learning for Medical Image Analysis: A Blockchain-Enabled Framework with Homomorphic Encryption
Secure Federated Learning for Medical Image Analysis: A Blockchain-Enabled Framework with Homomorphic Encryption Open
View article: A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks
A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks Open
Sixth-generation wireless networks will become vulnerable due to native generative AI (GenAI)-driven intelligent poisoning attacks in both the radio unit and the core network. In particular, network parameters and metrics in cross-layer d…
View article: Design and Development of Monitoring Smart Waste Management System
Design and Development of Monitoring Smart Waste Management System Open
View article: Water Quality Monitoring And Ground Water Level Prediction Using Machine Learning
Water Quality Monitoring And Ground Water Level Prediction Using Machine Learning Open
View article: Privacy Drift: Evolving Privacy Concerns in Incremental Learning
Privacy Drift: Evolving Privacy Concerns in Incremental Learning Open
In the evolving landscape of machine learning (ML), Federated Learning (FL) presents a paradigm shift towards decentralized model training while preserving user data privacy. This paper introduces the concept of ``privacy drift", an innova…
View article: Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments Open
Healthcare industries face challenges when experiencing rare diseases due to limited samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic data which is an ethical and privacy issue in the medical do…
View article: Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning Open
Over the last few years, federated learning (FL) has emerged as a prominent method in machine learning, emphasizing privacy preservation by allowing multiple clients to collaboratively build a model while keeping their training data privat…
View article: Integrated oral care for patients with spinal cord injuries: perceptions of non-dental professionals
Integrated oral care for patients with spinal cord injuries: perceptions of non-dental professionals Open
To understand the oral health attitudes, knowledge, and practices among non-dental professionals caring for patients with spinal cord injuries, as well as the barriers and facilitators to oral care across acute and rehabilitation hospital …