Robustness

This dataset contains the evaluation files for robustness testing against visual manipulations and geometric attacks. It includes the original baseline image (Stego_Original.jpg), seven modified images subjected to various simulated attacks (e.g., Gaussian Noise, Blur, Cropping, JPEG Compression, Scaling, Rotation, and Brightness adjustments), and a structured dataset (Robustness_Test_Results_2.csv). The CSV file provides the precise quantitative evaluation metrics for each scenario, specifically measuring visual fidelity and extraction reliability through Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Bit Error Rate (BER).本数据集包含用于对抗视觉篡改与几何攻击的鲁棒性测试评估文件。其中包含原始基准图像Stego_Original.jpg、七张经各类模拟攻击处理后的修改图像（攻击类型涵盖高斯噪声、模糊、裁剪、JPEG压缩、缩放、旋转及亮度调整），以及一份结构化数据集Robustness_Test_Results_2.csv。该CSV文件提供了各测试场景下的精准量化评估指标，通过均方误差（Mean Squared Error, MSE）、峰值信噪比（Peak Signal-to-Noise Ratio, PSNR）、结构相似性指数（Structural Similarity Index, SSIM）与误码率（Bit Error Rate, BER），分别衡量视觉保真度与提取可靠性。