Detection of Adversarial Attacks on Super-Resolvers Using Spectral Features

arXiv:2609.35022 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/ultralytics/ultralytics

Terminology

• AUC — 10× in this paper · explained in 2 episodes
• Adversarial Attacks — 9× in this paper · explained in 1 episode
• Explainability — 6× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Shapley values — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Local Intrinsic Dimensionality — 2× in this paper
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• DE-AC05-00OR22725 with the US Department of Energy — 1× in this paper
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Spectral Signature — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• The Double-Edged Sword of Data-Driven Super-Resolution: Adversarial Super-Resolution Models
• You Only Look Once: Unified, Real-Time Object Detection
• Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
• Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
• Explaining and Harnessing Adversarial Examples
• Towards Evaluating the Robustness of Neural Networks
• A Unified Approach to Interpreting Model Predictions

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models