Cover Image

Fact-Checking of AI-Generated Reports

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mahmood, Razi, Reyes, Diego Machado, Wang, Ge, Kalra, Mannudeep, Yan, Pingkun
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Cryptography and Security Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Specialty-Oriented Generalist Medical AI for Chest CT Screening
by: Niu, Chuang, et al.
Published: (2023)

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
by: Yang, Zefan, et al.
Published: (2024)

Chest X-ray Foundation Model with Global and Local Representations Integration
by: Yang, Zefan, et al.
Published: (2025)

Xray2Xray: World Model from Chest X-rays with Volumetric Context
by: Yang, Zefan, et al.
Published: (2025)

Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition
by: Green, Christian, et al.
Published: (2024)

Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
by: Sedghighadikolaei, Kiarash, et al.
Published: (2024)

Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review
by: Hemis, Mustapha, et al.
Published: (2024)

A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior
by: Liang, Hengyue, et al.
Published: (2025)

MarkCleaner: High-Fidelity Watermark Removal via Imperceptible Micro-Geometric Perturbation
by: Kong, Xiaoxi, et al.
Published: (2026)

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)
by: Muñoz-Haro, Javier, et al.
Published: (2025)

Privacy Preserving Image Registration
by: Taiello, Riccardo, et al.
Published: (2022)

VGMShield: Mitigating Misuse of Video Generative Models
by: Pang, Yan, et al.
Published: (2024)

Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)

AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction
by: Wang, Chao, et al.
Published: (2025)

Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
by: Clunie, David A., et al.
Published: (2023)

Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
by: Mahmood, Razi, et al.
Published: (2025)

Privacy-preserving Optics for Enhancing Protection in Face De-identification
by: Lopez, Jhon, et al.
Published: (2024)

LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
by: Xu, Yongjie, et al.
Published: (2024)

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
by: Nazeri, Amirhossein, et al.
Published: (2025)

Deep Data Hiding for ICAO-Compliant Face Images: A Survey
by: Chivata, Jefferson David Rodriguez, et al.
Published: (2025)

Fooling the Image Dehazing Models by First Order Gradient
by: Gui, Jie, et al.
Published: (2023)

Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
by: Perez, Fabian, et al.
Published: (2024)

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
by: Raj, Ankita, et al.
Published: (2025)

ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
by: Wang, Xianlong, et al.
Published: (2024)

Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
by: Grabovski, Fred, et al.
Published: (2024)

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation
by: Li, Tianhao, et al.
Published: (2025)

DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
by: Najafi, Mohammad Hossein, et al.
Published: (2024)

Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service
by: Zhang, Kuiyuan, et al.
Published: (2022)

Precise Liver Tumor Segmentation in CT Using a Hybrid Deep Learning-Radiomics Framework
by: Li, Xuecheng, et al.
Published: (2025)

SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
by: Khalili, Hossein, et al.
Published: (2025)

DIP-Watermark: A Double Identity Protection Method Based on Robust Adversarial Watermark
by: Zhang, Yunming, et al.
Published: (2024)

Pixel-Inconsistency Modeling for Image Manipulation Localization
by: Kong, Chenqi, et al.
Published: (2023)

Modeling Deep Learning Based Privacy Attacks on Physical Mail
by: Huang, Bingyao, et al.
Published: (2020)

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations
by: Lin, Xun, et al.
Published: (2024)

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
by: Dong, Junhao, et al.
Published: (2023)

State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
by: Fang, Junbin, et al.
Published: (2023)

Apple's Synthetic Defocus Noise Pattern: Characterization and Forensic Applications
by: Vázquez-Padín, David, et al.
Published: (2025)

Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks
by: Nasim, Md Abdullah Al, et al.
Published: (2024)

Privacy-Preserving AI for Encrypted Medical Imaging: A Framework for Secure Diagnosis and Learning
by: Siam, Abdullah Al, et al.
Published: (2025)

Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings
by: Mahmood, Razi, et al.
Published: (2024)