Imagen de Portada

A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Karathanasis, Andreas, Violos, John, Kompatsiaris, Ioannis, Papadopoulos, Symeon
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
por: Violos, John, et al.
Publicado: (2025)

Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge
por: Violos, John, et al.
Publicado: (2024)

Reducing Inference Energy Consumption Using Dual Complementary CNNs
por: Kinnas, Michail, et al.
Publicado: (2024)

Do DeepFake Attribution Models Generalize?
por: Baxavanakis, Spiros, et al.
Publicado: (2025)

DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
por: Wahab, Haroon, et al.
Publicado: (2025)

Any-Resolution AI-Generated Image Detection by Spectral Learning
por: Karageorgiou, Dimitrios, et al.
Publicado: (2024)

Towards Robust Protective Perturbation against DeepFake Face Swapping
por: Yao, Hengyang, et al.
Publicado: (2025)

Evaluating AI Group Fairness: a Fuzzy Logic Perspective
por: Krasanakis, Emmanouil, et al.
Publicado: (2024)

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
por: Papadimitriou, Ioannis, et al.
Publicado: (2024)

A Comprehensive Review of Machine Learning Techniques for DeepFake Detection
por: Md. Humayun Kabir, et al.
Publicado: (2025)

Can DeepFake Speech be Reliably Detected?
por: Liu, Hongbin, et al.
Publicado: (2024)

DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
por: Klemt, Marcel, et al.
Publicado: (2025)

Review Non-convex Optimization Method for Machine Learning
por: Fotopoulos, Greg B, et al.
Publicado: (2024)

Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
por: Elobaid, Alaa, et al.
Publicado: (2024)

Deep Orthogonal Hypersphere Compression for Anomaly Detection
por: Zhang, Yunhe, et al.
Publicado: (2023)

Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
por: Subramaniam, Saundarya, et al.
Publicado: (2025)

TruthLens:A Training-Free Paradigm for DeepFake Detection
por: Chakraborty, Ritabrata, et al.
Publicado: (2025)

Spectral Geometry for Deep Learning: Compression and Hallucination Detection via Random Matrix Theory
por: Ettori, Davide
Publicado: (2026)

Active Learning and Transfer Learning for Anomaly Detection in Time-Series Data
por: Kelleher, John D., et al.
Publicado: (2025)

Untraceable DeepFakes via Traceable Fingerprint Elimination
por: Lai, Jiewei, et al.
Publicado: (2025)

A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection
por: Alsuhaibani, Muath, et al.
Publicado: (2024)

DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
por: Wang, Qingyuan, et al.
Publicado: (2024)

Online Transfer Learning for RSV Case Detection
por: Sun, Yiming, et al.
Publicado: (2024)

Fake-in-Facext: Towards Fine-Grained Explainable DeepFake Analysis
por: Qin, Lixiong, et al.
Publicado: (2025)

Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data
por: Nguyen, Duy, et al.
Publicado: (2025)

Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
por: Maged, Ahmed, et al.
Publicado: (2024)

Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
por: Liu, Zhenrong, et al.
Publicado: (2025)

Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
por: Jradi, Takoua, et al.
Publicado: (2026)

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
por: Sygkounas, Alkis, et al.
Publicado: (2025)

A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
por: Jafarigol, Elaheh, et al.
Publicado: (2023)

FakeParts: a New Family of AI-Generated DeepFakes
por: Liu, Ziyi, et al.
Publicado: (2025)

Neighborhood-Order Learning Graph Attention Network for Fake News Detection
por: Lakzaei, Batool, et al.
Publicado: (2025)

Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques
por: He, Shwai, et al.
Publicado: (2024)

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
por: Ortiz-Perez, David, et al.
Publicado: (2024)

DeepFake Detection in Dyadic Video Calls using Point of Gaze Tracking
por: Kohler, Odin, et al.
Publicado: (2025)

An Invitation to Deep Reinforcement Learning
por: Jaeger, Bernhard, et al.
Publicado: (2023)

GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection
por: Shen, Lingzhi, et al.
Publicado: (2024)

Hide and Seek: Investigating Redundancy in Earth Observation Imagery
por: Papazafeiropoulos, Tasos, et al.
Publicado: (2026)

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
por: Shaeri, Pouya, et al.
Publicado: (2024)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
por: Singireddy, Suraj, et al.
Publicado: (2023)