Paper deep dive
A comprehensive survey of adversarial defense techniques in the visual domain
Yibing Dong, Jun Lei, Sheng Long, Shuohao Li, Jun Zhang
Year: 2025Venue: NeurocomputingArea: Adversarial RobustnessType: SurveyEmbeddings: 0
Models: CLIP, LVLMs, ResNet, VGG, Vision Transformer
Abstract
Comprehensive survey of adversarial defense techniques in computer vision, covering white-box/black-box/physical-world attacks and defenses including adversarial training, input preprocessing, detection, certified defenses, and LVLM defenses.
Tags
adversarial-robustness (suggested, 80%)ai-safety (imported, 100%)survey (suggested, 88%)
Links
Intelligence
Status: not_run | Model: - | Prompt: - | Confidence: 0%
Entities (0)
No extracted entities yet.
Relation Signals (0)
No relation signals yet.
Cypher Suggestions (0)
No Cypher suggestions yet.
Full Text
No full-text extraction is stored for this paper yet.