Research map / Adversarial robustness and security / Attacks on text and graphs
Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Infrared Adversarial Car Stickers (CVPR 2024 · similarity 0.85)
- Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation (AAAI 2025 · similarity 0.82)
- Rethinking Evaluation of Infrared Small Target Detection (NeurIPS 2025 · similarity 0.81)
- Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds (CVPR 2024 · similarity 0.81)
- Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection (AAAI 2025 · similarity 0.81)
- NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors (AAAI 2025 · similarity 0.81)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
