adversarial attacks 1black-box optimization 1embodied ai 1gradient-free methods 1vision-language navigation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection
Peng Chen, Kaige Li, Wei Wang +5
Zero-shot anomaly detection (ZSAD) aims to detect and localize anomalies in unseen categories without access to target-specific training data. Although recent CLIP-based methods ha…
cs.AI2026
AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation
Chenyang Li, Kaige Li, Zeyu Jiang +1
The paper introduces AdvNav, a gradient‑free black‑box adversarial attack that perturbs first‑person visual inputs to disrupt vision‑and‑language navigation agents, using behavior‑…