Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging

arXiv:2401.02565 · eess.IV, cs.CV, q-bio.TO · Submitted 2024-01-04 · Read on arXiv

eess.IV, cs.CV, q-bio.TO

Submitted: 2024-01-04

Updated: 2024-05-07

Code: https://github.com/jaiprakash1824/VLM

Terminology

Adversarial Attacks — 10× in this paper · explained in 1 episode
Interpretability — 9× in this paper · explained in 15 episodes
Robustness — 5× in this paper · explained in 5 episodes
Adversarial Examples — 4× in this paper · explained in 2 episodes
Foundation Model — 4× in this paper · explained in 3 episodes
Projected Gradient Descent — 4× in this paper
Adaptation — 3× in this paper · explained in 1 episode
Adversarial Training — 3× in this paper · explained in 1 episode
Artificial Intelligence (AI) — 2× in this paper · explained in 2 episodes
Domain Adaptation — 2× in this paper · explained in 5 episodes
Accuracy — 1× in this paper · explained in 1 episode
Adversarial Noise — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Pathology Language-Image Pretraining — 1× in this paper
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Structural Similarity Index Measure — 1× in this paper
Transformer — 1× in this paper · explained in 2 episodes

Sources

Related papers