SPNet: Seam carving detection via spatial-phase learning.

A two-stage fake face image detection algorithm with expanded attention.

Enhancing Adversarial Embedding based Image Steganography via Clustering Modification Directions.

Image Dehazing Assessment: A Real-World Dataset and a Haze Density-Aware Criteria.

Improving image steganography security via ensemble steganalysis and adversarial perturbation minimization.

GAN-based adaptive cost learning for enhanced image steganography security.

Robust detection of seam carving with low ratio via pixel adjacency subtraction and CNN-based transfer learning.

From depth-aware haze generation to real-world haze removal.

Exposing Deepfake Face Forgeries With Guided Residuals.

HDNet: A dual-stream network with progressive fusion for image hazing detection.

Robust detection of dehazed images via dual-stream CNNs with adaptive feature fusion.

Fake face detection via adaptive manipulation traces extraction network.

Audio style transfer using shallow convolutional networks and random filters.

Fake Face Detection via Adaptive Residuals Extraction Network.