Copertina

Apple's Synthetic Defocus Noise Pattern: Characterization and Forensic Applications

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vázquez-Padín, David, Pérez-González, Fernando, Pérez-Miguélez, Pablo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Cryptography and Security Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

Exploration of Incremental Synthetic Non-Morphed Images for Single Morphing Attack Detection
di: Benavente-Rios, David, et al.
Pubblicazione: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing
di: Yamac, Mehmet, et al.
Pubblicazione: (2019)

Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images
di: Neri, Michael, et al.
Pubblicazione: (2025)

Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending
di: Pan, Yongyang, et al.
Pubblicazione: (2024)

Authenticated Contradictions from Desynchronized Provenance and Watermarking
di: Nemecek, Alexander, et al.
Pubblicazione: (2026)

Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
di: Rahman, Mushfiqur, et al.
Pubblicazione: (2023)

Region of Interest Loss for Anonymizing Learned Image Compression
di: Liebender, Christoph, et al.
Pubblicazione: (2024)

Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
di: Sami, Hasin Us, et al.
Pubblicazione: (2025)

A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
di: Wimalasuriya, Chinthana, et al.
Pubblicazione: (2025)

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
di: Prakash, S Arut, et al.
Pubblicazione: (2024)

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
di: Lan, Shulin, et al.
Pubblicazione: (2024)

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

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

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

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking
di: Sun, Weixiang, et al.
Pubblicazione: (2024)

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

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

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

Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
di: Rasaee, Hamza, et al.
Pubblicazione: (2021)

Privacy Preserving Image Registration
di: Taiello, Riccardo, et al.
Pubblicazione: (2022)

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
di: Guo, Zhongliang, et al.
Pubblicazione: (2024)

2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
di: Galdi, Chiara, et al.
Pubblicazione: (2024)