Cover Image

A Novel Approach to Image Steganography Using Generative Adversarial Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Rehman, Waheed
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Null Space Properties of Neural Networks with Applications to Image Steganography
by: Li, Xiang, et al.
Published: (2024)

Fingerprinting Image-to-Image Generative Adversarial Networks
by: Li, Guanlin, et al.
Published: (2021)

Natias: Neuron Attribution based Transferable Image Adversarial Steganography
by: Fan, Zexin, et al.
Published: (2024)

Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
by: Huang, Linhao, et al.
Published: (2025)

Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022)

Provenance of AI-Generated Images: A Vector Similarity and Blockchain-based Approach
by: Sharma, Jitendra, et al.
Published: (2025)

RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
by: Hull, Matthew, et al.
Published: (2024)

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
by: Yilmaz, Eda, et al.
Published: (2024)

Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
by: Liu, Renyang, et al.
Published: (2025)

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
by: Li, Jiyao, et al.
Published: (2024)

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
by: Zhao, Zhengyu, et al.
Published: (2023)

Assessing Neural Network Robustness via Adversarial Pivotal Tuning
by: Christensen, Peter Ebert, et al.
Published: (2022)

One-Index Vector Quantization Based Adversarial Attack on Image Classification
by: Fan, Haiju, et al.
Published: (2024)

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
by: Pintor, Maura, et al.
Published: (2022)

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
by: Fan, Mingyuan, et al.
Published: (2024)

Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
by: Piras, Giorgio, et al.
Published: (2024)

Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers
by: Mumcu, Furkan, et al.
Published: (2025)

LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
by: Costa, Joana C., et al.
Published: (2025)

Adversarial Training against Location-Optimized Adversarial Patches
by: Rao, Sukrut, et al.
Published: (2020)

Undermining Image and Text Classification Algorithms Using Adversarial Attacks
by: Lunga, Langalibalele, et al.
Published: (2024)

A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles
by: Abhulimhen, Richard, et al.
Published: (2025)

Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
by: Li, Shuai, et al.
Published: (2024)

Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)

Continual Adversarial Defense
by: Wang, Qian, et al.
Published: (2023)

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
by: Chen, Junxi, et al.
Published: (2024)

AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
by: Peng, Heqi, et al.
Published: (2024)

Cover-separable Fixed Neural Network Steganography via Deep Generative Models
by: Li, Guobiao, et al.
Published: (2024)

Benchmarking Adversarial Patch Selection and Location
by: Kimhi, Shai, et al.
Published: (2025)

Adversarial Defenses via Vector Quantization
by: Dong, Zhiyi, et al.
Published: (2023)

Interpretability-Guided Test-Time Adversarial Defense
by: Kulkarni, Akshay, et al.
Published: (2024)

Adversary-Guided Motion Retargeting for Skeleton Anonymization
by: Carr, Thomas, et al.
Published: (2024)

Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
by: Heidarizadeh, Akram, et al.
Published: (2025)

Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks
by: Pasque, Kurt, et al.
Published: (2024)

PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing
by: Minhaz, Md Abdul Ahad, et al.
Published: (2025)

Transferable Adversarial Attacks on SAM and Its Downstream Models
by: Xia, Song, et al.
Published: (2024)

Boosting Adversarial Transferability via Residual Perturbation Attack
by: Peng, Jinjia, et al.
Published: (2025)

Enhancing Adversarial Example Detection Through Model Explanation
by: Ma, Qian, et al.
Published: (2025)

Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023)

A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes
by: Arifin, Md Mashrur, et al.
Published: (2024)

PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
by: Li, Kecen, et al.
Published: (2023)