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Found 19 papers, 4 papers with code
Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator
To achieve this, we design a contrastive-generator that can effectively generate texts with more attributes.
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection
To address this, we present a residual-aware compensation network with multi-granularity constraints (RaCMC) for fake news detection, that aims to sufficiently interact and fuse cross-modal features while amplifying the differences between real and fake news.
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection
In this paper, we construct the first large-scale multi-scenario talking face dataset (MSTF), which contains 22 audio and video forgery techniques, filling the gap of datasets in this field.
Grid: Omni Visual Generation
Visual generation has witnessed remarkable progress in single-image tasks, yet extending these capabilities to temporal sequences remains challenging.
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
Image forgery localization (IFL) is a crucial technique for preventing tampered image misuse and protecting social safety.
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis
Furthermore, we integrate the audio-point enhancement module, which not only ensures the synchronization of the audio signal with the corresponding lip point cloud within the feature space, but also facilitates a deeper understanding of the interrelations among cross-modal conditional features.
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification
The misuse of deep learning-based facial manipulation poses a potential threat to civil rights.
Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization
Recently, a novel form of audio partial forgery has posed challenges to its forensics, requiring advanced countermeasures to detect subtle forgery manipulations within long-duration audio.
Efficient Sparse Attention needs Adaptive Token Release
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide array of text-centric tasks.
DF-RAP: A Robust Adversarial Perturbation for Defending against Deepfakes in Real-world Social Network Scenarios
In this paper, we propose a Robust Adversarial Perturbation (DF-RAP) that provides persistent protection for facial images under OSN compression.
Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning
While impressive performance has been achieved in image captioning, the limited diversity of the generated captions and the large parameter scale remain major barriers to the real-word application of these systems.
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Therefore, we propose a novel adversarial defense mechanism, which is referred to as immune defense and is the example-based pre-defense.
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks
The destruction to DNNs brought by the adversarial attack sparks the potential that adversarial examples serve as a new protection mechanism for privacy security in social networks.
GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework
MP layers refine the initial node embeddings by modeling the connection information.
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection
Collaborative learning allows multiple clients to train a joint model without sharing their data with each other.
A Review-Driven Neural Model for Sequential Recommendation
Given a sequence of historical purchased items for a user, we devise a novel hierarchical attention over attention mechanism to capture sequential patterns at both union-level and individual-level.
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems.
Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering
In this method, we use the subspace representations of different views to adaptively learn a consensus similarity matrix, uncovering the subspace structure and avoiding noisy nature of original data.
NEXT: A Neural Network Framework for Next POI Recommendation
Inspired by the recent success of neural networks in many areas, in this paper, we present a simple but effective neural network framework for next POI recommendation, named NEXT.
