3 citations · 3 across the 6 of their papers we have counts for
8 papers
Agentic AI Defense: Decode-Time Provenance Binding for MCP
Eric Yocam, Varghese Vaidyan, Paris Kalathas +3
Agentic AI systems using the Model Context Protocol (MCP) are vulnerable to indirect prompt injection through untrusted tool outputs. We demonstrate cross-modal trust laundering, i…
AI Security Literacy: Ecosystem-based Competency Framework and K-12 Learning Platform
Eric Yocam, Varghese Vaidyan, Paris Kalathas
Adoption of artificial intelligence in K-12 schools has outpaced guidance for students, teachers, and administrators. Existing AI-literacy frameworks emphasize understanding and us…
Side-Channel Attacks Survive Noise Cancellation in 3D Printers
Eric Yocam, Varghese Vaidyan, Micah Flack +2
Active Motor Noise Cancellation (AMNC) is a noise-reduction feature shipped in commercial fused deposition modeling (FDM) 3D printers. Because it suppresses the acoustic emissions…
Superspace Concentration and Adversarial Robustness in Quantum Algorithms
Eric Yocam, Christian Yocam, Varghese Vaidyan +3
We study superspace concentration as a quantum resource, formalized through the focus measure F(\r{ho}) = λ_max(\r{ho}_super) - the largest eigenvalue of the reduced superspace sta…
TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis
Eric Yocam, Varghese Vaidyan
Electromagnetic (EM) side-channel analysis traditionally assumes a stationary, close-proximity probe - a threat model that underestimates aerial adversaries. TriSweep is a simulati…
H-Node Attack and Defense in Large Language Models
Eric Yocam, Varghese Vaidyan, Yong Wang
We present H-Node Adversarial Noise Cancellation (H-Node ANC), a mechanistic framework that identifies, exploits, and defends hallucination representations in transformer-based lar…
Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
Eric Yocam, Varghese Vaidyan, Gurcan Comert +3
Large Language Models frequently generate fluent but factually incorrect text. We propose Adaptive Activation Cancellation (AAC), a real-time inference-time framework that treats h…
Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities
Eric Yocam, Anthony Rizi, Mahesh Kamepalli +3
As quantum computing continues to advance, the development of quantum-secure neural networks is crucial to prevent adversarial attacks. This paper proposes three quantum-secure des…