Cover Image

Cross-table Synthetic Tabular Data Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kindji, G. Charbel N., Rojas-Barahona, Lina Maria, Fromont, Elisa, Urvoy, Tanguy
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthetic Tabular Data Detection In the Wild
by: Kindji, G. Charbel N., et al.
Published: (2025)

Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
by: Kindji, G. Charbel N., et al.
Published: (2025)

Robust Detection of Synthetic Tabular Data under Schema Variability
by: Kindji, G. Charbel N., et al.
Published: (2025)

Tabular Data Generation Models: An In-Depth Survey and Performance Benchmarks with Extensive Tuning
by: Kindji, G. Charbel N., et al.
Published: (2024)

SubStrat: A Subset-Based Strategy for Faster AutoML
by: Lazebnik, Teddy, et al.
Published: (2022)

NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
by: Monir, Solmaz Seyed, et al.
Published: (2024)

VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration
by: Monir, Solmaz Seyed, et al.
Published: (2024)

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification
by: Toutouh, Jamal
Published: (2026)

Structural Equation-VAE: Disentangled Latent Representations for Tabular Data
by: Zhang, Ruiyu, et al.
Published: (2025)

Graph-Grounded Optimization: Rao-Family Metaheuristics, Classical OR, and SLM-Driven Formulation over Knowledge Graphs
by: Mandarapu, Madhulatha, et al.
Published: (2026)

Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification
by: Pei, Wenbin, et al.
Published: (2026)

Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
by: Frasca, Fabrizio, et al.
Published: (2024)

Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
by: Amekoe, Kodjo Mawuena, et al.
Published: (2024)

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)

Dynamic Dimension Wrapping (DDW) Algorithm: A Novel Approach for Efficient Cross-Dimensional Search in Dynamic Multidimensional Spaces
by: Jin, Dongnan, et al.
Published: (2024)

A Machine Learning Approach to Automatic Fall Detection of Soldiers
by: Soares, Leandro, et al.
Published: (2025)

Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
by: Pale, Una, et al.
Published: (2023)

Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
by: Liao, Jing-Xiao, et al.
Published: (2022)

Online Reliable Anomaly Detection via Neuromorphic Sensing and Communications
by: Shiraishi, Junya, et al.
Published: (2025)

Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data
by: Pourkamali-Anaraki, Farhad, et al.
Published: (2024)

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
by: Gao, Zijian, et al.
Published: (2026)

MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
by: Zhang, Lizhao, et al.
Published: (2026)

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)

A Simple Generative Network
by: Nissani, Daniel N.
Published: (2021)

Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)

Generative Design through Quality-Diversity Data Synthesis and Language Models
by: Gaier, Adam, et al.
Published: (2024)

Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
by: Hasan, Yumnah, et al.
Published: (2024)

Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models
by: Haut, Nathan, et al.
Published: (2025)

Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
by: Lazebnik, Teddy, et al.
Published: (2023)

Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model
by: Zhou, Yonghang, et al.
Published: (2024)

Credit Card Fraud Detection Using RoFormer Model With Relative Distance Rotating Encoding
by: Reyes, Kevin, et al.
Published: (2025)

Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS
by: Patel, Ria, et al.
Published: (2024)

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering
by: Zhang, Yiqun, et al.
Published: (2024)

Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced
by: Bazhenov, Anthony, et al.
Published: (2024)

Energy-Efficient Eimeria Parasite Detection Using a Two-Stage Spiking Neural Network Architecture
by: García-Vico, Ángel Miguel, et al.
Published: (2025)

STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
by: Hens, Freek, et al.
Published: (2024)

Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation
by: Sani, Naeem Shahabi, et al.
Published: (2026)

Empirical Analysis of Nature-Inspired Algorithms for Autism Spectrum Disorder Detection Using 3D Video Dataset
by: Panchal, Aneesh, et al.
Published: (2025)

TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
by: Haq, Ijaz Ul, et al.
Published: (2023)

Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach
by: Baptiste, Dylan, et al.
Published: (2026)