UMBC College of Engineering and Information Technology
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Semantically Rich Framework to Automate Cyber Insurance Services
(IEEE, 2021)With the rapid enhancements in technology and the adoption of web services, there has been a significant increase in cyber threats faced by organizations in cyberspace. Organizations want to purchase adequate cyber insurance ... -
ISD: Self-Supervised Learning by Iterative Similarity Distillation
(2021-09-10)Recently, contrastive learning has achieved great results in self-supervised learning, where the main idea is to push two augmentations of an image (positive pairs) closer compared to other random images (negative pairs). ... -
Backdoor Attacks on Self-Supervised Learning
(2021-05-21)Large-scale unlabeled data has allowed recent progress in self-supervised learning methods that learn rich visual representations. State-of-the-art self-supervised methods for learning representations from images (MoCo and ... -
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks
(IEEE, 2021-09-15)In deep convolutional neural networks (DCNNs), model size and computation complexity are two important factors governing throughput and energy efficiency when deployed to hardware for inference. Recent works on compact ... -
Best Practices of Student Engagement in Online Teaching of HPC and Big Data Research
(UMBC High Performance Computing Facility, 2021)There is a critical nationwide shortage of IT professionals as well as of scientists and engineers with highperformance computing (HPC) and big data related advanced computing skills. Simultaneously, the technology is ... -
DAHID: Domain Adaptive Host-based Intrusion Detection
(IEEE, 2021-09-06)Cybersecurity is becoming increasingly important with the explosion of attack surfaces as more cyber-physical systems are being deployed. It is impractical to create models with acceptable performance for every single ... -
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
(2021-09-05)Adversarial attacks attempt to disrupt the training, retraining and utilizing of artificial intelligence and machine learning models in large-scale distributed machine learning systems. This causes security risks on its ... -
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels
(2021-08-20)Malware family classification is a significant issue with public safety and research implications that has been hindered by the high cost of expert labels. The vast majority of corpora use noisy labeling approaches that ... -
RescueNet: A High Resolution Post Disaster UAV Dataset for Semantic Segmentation
(2021-09-22)Due to climate change, we can observe a recent surge of natural disasters all around the world. These disasters are causing disastrous impact on both nature and human lives. Economic losses are getting greater due to the ... -
Low Temperature Reactive Flux Growth of SiC and SiC-AlNusing Al-Si Flux
(Gexin Publications, 2021-07-24)Al - 12% Si alloy system was used as nutrient flux to grow silicon carbide at low temperature by reactive flux growth. Thick films were grown below 900oC on a SiC substrate having Al-Si melt rotated with a speed of 30rpm ... -
Cyber-Physical System Security Surveillance using Knowledge Graph based Digital Twins - A Smart Farming Usecase
(2021-08-31)Rapid advancements in Cyber-Physical System (CPS) capabilities have motivated farmers to deploy this ecosystem on their farms. However, there is a growing concern among users regarding the security risks associated with ... -
GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus
(2021-08-24)The national highway traffic safety administration (NHTSA) identified cybersecurity of the automobile systems are more critical than the security of other information systems. Researchers already demonstrated remote attacks ... -
Proteins and Cancer Therapy-A Complicated Duet
(Scientific Research and Community, 2021-08-13) -
MedFuseNet: Attention-based Multimodal deep learning model for Visual Question Answering in the Medical Domain
(Virginia Polytechnic Institute and State University, 2021)Medical images are difficult to comprehend for a person without expertise. The limited number of practitioners across the globe often face the issue of physical and mental fatigue due to the high number of cases, inducing ... -
Info-Autopoiesis and Digitalisation
(The Institute for a Global Sustaninable Information Society, 2021-08) -
Clinical Evaluation of Non-Contact Infrared Thermometers
(Research Square, 2021-08-18)Background: Non-contact infrared thermometers (NCITs) are being widely used during the COVID-19 pandemic as a temperature-measurement tool for screening and isolating patients in healthcare settings, travelers at ports ... -
Leveraging Artificial Intelligence to Advance Problem-Solving with Quantum Annealers
(2020-01-20)We show how to advance quantum information processing, specifically problem-solving with quantum annealers, in the realm of artificial intelligence. We introduce SAT++, as a novel quantum programming paradigm, that can ... -
Rapid Detection of Bacteria in Blood
(2020-01-20)Sepsis is the leading cause of death in U.S. hospitals. It is usually caused by an acute infection in the bloodstream, and treatment requires the timely prescription of antibiotics. Rapid detection of bacterial presence ... -
Security Issues in Unmanned Aerial Vehicle Routing Protocols.
(2020-01-20)With the rapidly increasing demand for portable and flexible communications which has led to an evolution in networking between unmanned aerial vehicles, the potential attack surface for unmanned aerial vehicles has also ... -
Factors Affecting Thermodynamic Modeling of Aerosol pH
(2019-01-01)Aerosol acidity (pH) is a fundamental property of aqueous particles that affects many chemical and physical processes in the atmosphere. Overall, aerosol pH is a vitally important but ultimately poorly represented parameter ...
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