Danda B. Rawat
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View article: Adaptive hybrid convolutional neural network-autoencoder framework for backdoor detection in GenAI-driven semantic communication systems
Adaptive hybrid convolutional neural network-autoencoder framework for backdoor detection in GenAI-driven semantic communication systems Open
Semantic communication systems, powered by Generative AI (GenAI), enable the efficient transmission of semantic meaning rather than raw data. However, these systems remain highly vulnerable to backdoor attacks, which embed malicious trigge…
View article: MedScrubCrew: A Medical Multi-Agent Framework for Automating Appointment Scheduling Based on Patient-Provider Profile Resource Matching
MedScrubCrew: A Medical Multi-Agent Framework for Automating Appointment Scheduling Based on Patient-Provider Profile Resource Matching Open
Background: With advancements in Generative Artificial Intelligence, various industries have made substantial efforts to integrate this technology to enhance the efficiency and effectiveness of existing processes or identify potential weak…
View article: A BERT-Based Multimodal Framework for Enhanced Fake News Detection Using Text and Image Data Fusion
A BERT-Based Multimodal Framework for Enhanced Fake News Detection Using Text and Image Data Fusion Open
The spread of fake news on social media is complicated by the fact that fake information spreads extremely fast in both textual and visual formats. Traditional approaches to the detection of fake news focus mainly on text and image feature…
View article: Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate Open
Automated counter-narratives (CN) offer a promising strategy for mitigating online hate speech, yet concerns about their affective tone, accessibility, and ethical risks remain. We propose a framework for evaluating Large Language Model (L…
View article: The Eyes: A Source of Information for Detecting Deepfakes
The Eyes: A Source of Information for Detecting Deepfakes Open
Currently, the phenomenon of deepfakes is becoming increasingly significant, as they enable the creation of extremely realistic images capable of deceiving anyone thanks to deep learning tools based on generative adversarial networks (GANs…
View article: Recent Advances in Vision Transformer Robustness Against Adversarial Attacks in Traffic Sign Detection and Recognition: A Survey
Recent Advances in Vision Transformer Robustness Against Adversarial Attacks in Traffic Sign Detection and Recognition: A Survey Open
The emergence of Vision Transformers (ViTs) has marked a significant advancement in machine learning, particularly in applications requiring robust visual recognition capabilities, such as traffic sign detection for autonomous driving syst…
View article: Human Immune System Inspired Security for Federated Learning-Empowered Internet of Things
Human Immune System Inspired Security for Federated Learning-Empowered Internet of Things Open
The emergence of the Internet of Things (IoT) has revolutionized service automation, enabling the development of smart applications. However, the vast interconnectivity of IoT devices not only produces large volumes of data but also create…
View article: Leveraging Digital Twin Technology for Sustainable and Efficient Public Transportation
Leveraging Digital Twin Technology for Sustainable and Efficient Public Transportation Open
Public transportation systems face numerous challenges like traffic congestion, inconsistent schedules, and variable passenger demand. These issues lead to delays, overcrowding, and reduced patron satisfaction. Digital twin (DT) technology…
View article: Swamped with Too Many Articles? GraphRAG Makes Getting Started Easy
Swamped with Too Many Articles? GraphRAG Makes Getting Started Easy Open
Background: Both early researchers, such as new graduate students, and experienced researchers face the challenge of sifting through vast amounts of literature to find their needle in a haystack. This process can be time-consuming, tedious…
View article: Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference Open
This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twin model to obtain realistic channel state information (CSI)…
View article: Quantum Machine Learning: Recent Advances, Challenges, and Perspectives
Quantum Machine Learning: Recent Advances, Challenges, and Perspectives Open
This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve complex problems in different domains, l…
View article: Deepfakes Detection by Iris Analysis
Deepfakes Detection by Iris Analysis Open
Deepfake is an advanced technology that creates extremely realistic facial images and videos. This new technique operates under specific conditions and has a wide range of applications. For example, it can be used in the entertainment indu…
View article: Multi-Stage Deep Learning for Intrusion Detection in Industrial Internet of Things
Multi-Stage Deep Learning for Intrusion Detection in Industrial Internet of Things Open
The Industrial Internet of Things (IIoT) facilitates enhanced automation, predictive maintenance, real-time monitoring, and data analytics across various sectors, including manufacturing, energy, transportation, agriculture, and supply cha…
View article: Bits to Qubits: A Comparative Study of Memory Management in Classical and Quantum Systems
Bits to Qubits: A Comparative Study of Memory Management in Classical and Quantum Systems Open
In the near future, as quantum and classical systems coexist, managing hybrid systems will require efficient conversion between bits and qubits. Therefore, understanding memory management for both classical and quantum systems is essential…
View article: The Eyes: A Source of Information for Detecting Deepfakes
The Eyes: A Source of Information for Detecting Deepfakes Open
Nowadays, the phenomenon of Deepfake is crucial as it enables the creation of extremely realistic images capable of deceiving anyone, thanks to deep learning tools based on Generative Adversarial Networks (GANs). These images are used as p…
View article: AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions Open
Artificial Intelligence (AI) techniques, particularly machine learning techniques, are rapidly transforming tactical operations by augmenting human decision-making capabilities. This paper explores AI-driven Human-Autonomy Teaming (HAT) as…
View article: Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning
Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning Open
The proliferation of fake news across multiple modalities has emerged as a critical challenge in the modern information landscape, necessitating advanced detection methods. This study proposes a comprehensive framework for fake news detect…
View article: Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications Open
The development of satellite constellation applications is rapidly advancing due to increasing user demands, reduced operational costs, and technological advancements. However, a significant gap in the existing literature concerns reconfig…
View article: Neuro-Symbolic AI for Military Applications
Neuro-Symbolic AI for Military Applications Open
Artificial Intelligence (AI) plays a significant role in enhancing the capabilities of defense systems, revolutionizing strategic decision-making, and shaping the future landscape of military operations. Neuro-Symbolic AI is an emerging ap…
View article: Recent Advances in 3D Object Detection for Self-Driving Vehicles: A Survey
Recent Advances in 3D Object Detection for Self-Driving Vehicles: A Survey Open
The development of self-driving or autonomous vehicles has led to significant advancements in 3D object detection technologies, which are critical for the safety and efficiency of autonomous driving. Despite recent advances, several challe…
View article: Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives Open
The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has marked a new era of Natural Language Processing (NLP), introducing unprecedented capabilities that are revolutionizing various domains. This pape…
View article: Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems
Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems Open
Increasing global credit card usage has elevated it to a preferred payment method for daily transactions, underscoring its significance in global financial cybersecurity. This paper introduces a credit card fraud detection (CCFD) system th…
View article: Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives
Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives Open
Causal inference is the idea of cause and effect; this fundamental area of sciences can be applied to problem space associated with Newton’s laws or the devastating COVID-19 pandemic. The cause explains the “why,” whereas the effect descri…
View article: Machine Learning-Based Anomaly Detection for Securing In-Vehicle Networks
Machine Learning-Based Anomaly Detection for Securing In-Vehicle Networks Open
In-vehicle networks (IVNs) are networks that allow communication between different electronic components in a vehicle, such as infotainment systems, sensors, and control units. As these networks become more complex and interconnected, they…
View article: Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives Open
In this paper, we present a comprehensive survey of the metaverse, envisioned as a transformative dimension of next-generation Internet technologies. This study not only outlines the structural components of our survey but also makes a sub…
View article: Data-Driven Network Anomaly Detection with Cyber Attack and Defense Visualization
Data-Driven Network Anomaly Detection with Cyber Attack and Defense Visualization Open
The exponential growth in data volumes, combined with the inherent complexity of network algorithms, has drastically affected network security. Data activities are producing voluminous network logs that often mask critical vulnerabilities.…
View article: Review of the Open Data Sets for Contactless Sensing
Review of the Open Data Sets for Contactless Sensing Open
Recent years have witnessed the increasing popularity and dramatic progress of contactless sensing technologies, which are able to conduct remote signal acquisition without body contact. Both the physical signs and the physiological parame…
View article: Guest Editorial Special Issue on Cloud–Edge–Terminal Collaboration-Enabled AIoT: Services, Technologies, and Applications
Guest Editorial Special Issue on Cloud–Edge–Terminal Collaboration-Enabled AIoT: Services, Technologies, and Applications Open
Artificial Intelligence of Things (AIoT) represents a collaborative fusion of artificial intelligence (AI) and the Internet of Things (IoT). AIoT systems enable real-time data acquisition through IoT sensors and conduct intelligent data an…