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Text-Guided Diffusion-Based Adversarial Attacks on Chest X-Ray Images

Paper recorded by Signals 4 on 2026-08-29 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-29 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CV · 计算机视觉 · first seen 2026-09-01

Abstract

As artificial intelligence is increasingly integrated into chest X-ray (CXR) interpretation, triage, and clinical decision support, understanding its vulnerability to adversarial manipulation is critical for safe deployment. Existing robustness evaluations, however, predominantly rely on pixel-space attacks that introduce numerically constrained perturbations but may not represent plausible radiog

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#222 most recent of 237 cs.CV papers we have recorded · ↑ newer: Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Z · ↓ older: Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA Wor
Cite this page: Text-Guided Diffusion-Based Adversarial Attacks on Chest X-Ray Images: the #222 most recent of 237 cs.CV papers we have recorded (as of 2026-08-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/text-guided-diffusion-based-adversarial-attacks-on-chest-x-ray-images.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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