Artifacts for ARMOR: Adversarial Robustness with Manifold-Oriented Training to Defend Aerial Object Detection against Physically-Realizable Attacks amidst Low Data
Abstract
This repo contains the artifacts of paper "ARMOR: Adversarial Robustness with Manifold-Oriented Training to Defend Aerial Object Detection against Physically-Realizable Attacks amidst Low Data".
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Advanced Neural Network Applications
Digital Media Forensic Detection
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 February 2026