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Found 16 papers, 9 papers with code
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
We consider the problem of anomaly network traffic detection and propose a three-stage anomaly detection framework using only normal traffic.
Masked Attribute Description Embedding for Cloth-Changing Person Re-identification
To address this, we mask the clothing and color information in the personal attribute description extracted through an attribute detection model.
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
Adversarial attacks involve adding perturbations to the source image to cause misclassification by the target model, which demonstrates the potential of attacking face recognition models.
Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval
In this paper, we propose a novel Symmetrical Bidirectional Knowledge Alignment for zero-shot sketch-based image retrieval (SBKA).
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection
Considering the complexity of the quality distribution of both real and fake faces, we propose a novel Deepfake detection framework named DeepFidelity to adaptively distinguish real and fake faces with varying image quality by mining the perceptual forgery fidelity of face images.
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learning
DeepFake detection is pivotal in personal privacy and public safety.
Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection
Due to the successful development of deep image generation technology, visual data forgery detection would play a more important role in social and economic security.
Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues
Face forgery detection plays an important role in personal privacy and social security.
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
In this paper, we propose an MLP-Mixer based multi-view multi-label neural network for network traffic classification.
FedForgery: Generalized Face Forgery Detection with Residual Federated Learning
Experiments conducted on publicly available face forgery detection datasets prove the superior performance of the proposed FedForgery.
TransFA: Transformer-based Representation for Face Attribute Evaluation
The multiple branches transformer is employed to explore the inter-correlation between different attributes in similar semantic regions for attribute feature learning.
Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario
In recent years, with the rapid development of face editing and generation, more and more fake videos are circulating on social media, which has caused extreme public concerns.
Towards Defending against Adversarial Examples via Attack-Invariant Features
However, given the continuously evolving attacks, models trained on seen types of adversarial examples generally cannot generalize well to unseen types of adversarial examples.
Removing Adversarial Noise in Class Activation Feature Space
Then, we train a denoising model to minimize the distances between the adversarial examples and the natural examples in the class activation feature space.
Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition
An adaptive sparse graphical representation scheme is designed to represent heterogeneous face images, where a Markov networks model is constructed to generate adaptive sparse vectors.
Graphical Representation for Heterogeneous Face Recognition
Heterogeneous face recognition (HFR) refers to matching face images acquired from different sources (i. e., different sensors or different wavelengths) for identification.
