291 citations
- Oak Ridge National LaboratoryUS73 papers
- University of Tennessee at KnoxvilleUS67 papers
- Los Alamos National LaboratoryUS60 papers
- North Carolina State UniversityUS55 papers
- Joint Institute for Nuclear ResearchRU50 papers
- Triangle Universities Nuclear LaboratoryUS49 papers
- Lawrence Berkeley National LaboratoryUS46 papers
- University of WashingtonUS46 papers
- Duke UniversityUS44 papers
- Pacific Northwest National LaboratoryUS44 papers
- University of South CarolinaUS44 papers
- University of North Carolina at Chapel HillUS43 papers
29 papers · 1 filter
Secure AI-Driven Super-Resolution for Real-Time Mixed Reality Applications
Mohammad Waquas Usmani, Sankalpa Timilsina, Michael Zink +1
Immersive formats such as 360° and 6DoF point cloud videos require high bandwidth and low latency, posing challenges for real-time AR/VR streaming. This work focuses on reducing ba…
Supply Chain Exploitation of Secure ROS 2 Systems: A Proof-of-Concept on Autonomous Platform Compromise via Keystore Exfiltration
Tahmid Hasan Sakib, Yago Romano Martinez, Carter Brady +2
This paper presents a proof-of-concept supply chain attack against the Secure ROS 2 (SROS 2) framework, demonstrated on a Quanser QCar2 autonomous vehicle platform. A Trojan-infect…
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator
Yago Romano Martinez, Brady Carter, Abhijeet Solanki +3
Autonomous vehicles (AVs) rely heavily on cameras and artificial intelligence (AI) to make safe and accurate driving decisions. However, since AI is the core enabling technology, t…
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
S M Mostaq Hossain, Amani Altarawneh, Jesse Roberts
As blockchain technology and smart contracts become widely adopted, securing them throughout every stage of the transaction process is essential. The concern of improved security f…
Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
Maraz Mia, Darius Derakhshan, Mir Mehedi A. Pritom
Phishing has been a prevalent cyber threat that manipulates users into revealing sensitive private information through deceptive tactics, designed to masquerade as trustworthy enti…
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
Harikha Manthena, Shaghayegh Shajarian, Jeffrey Kimmell +3
Machine learning (ML) has rapidly advanced in recent years, revolutionizing fields such as finance, medicine, and cybersecurity. In malware detection, ML-based approaches have demo…