most citedQuantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities

3 citations · 3 across the 10 of their papers we have counts for

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cs.CR2026

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…

cs.CR2026

Bridging the Smart City Cybersecurity Data Gap Through AI-Driven Synthetic Dataset Generation

Stephanie Polczynski, John D. Hastings, Varghese Vaidyan +1

Smart cities rely on interconnected cyber-physical systems that integrate sensors, IoT devices, cloud platforms, and AI-driven services and decision-making. While these systems enh…

cs.CR2026

Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications

Walther A. Del Orbe, John D. Hastings, Varghese Vaidyan

AI-powered code generation systems have transformed software development but introduce critical inference-time security vulnerabilities. This research presents a systematic investi…

cs.CR2026

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…

cs.CR2026

Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards

Ryan Holeman, John Hastings, Varghese Mathew Vaidyan

Effective security logging is crucial for the timely and accurate detection of cyber threats; however, the relative effectiveness of various industry-standard logging frameworks re…