Imagen de Portada

TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Le, Nam, Zhang, Leo Yu, Liao, Kewen, Pan, Shirui, Luo, Wei
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence 68T07, 62H30, 53Z50 I.2.6; I.5.1; K.6.5
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Context-dependent manifold learning: A neuromodulated constrained autoencoder approach
por: Adriaens, Jérôme, et al.
Publicado: (2026)

Predicting Traffic Accident Severity with Deep Neural Networks
por: Bibb, Meghan, et al.
Publicado: (2025)

torchsom: The Reference PyTorch Library for Self-Organizing Maps
por: Berthier, Louis, et al.
Publicado: (2025)

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)

Augmenting Replay in World Models for Continual Reinforcement Learning
por: Yang, Luke, et al.
Publicado: (2024)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
por: Agrawal, Vidhi, et al.
Publicado: (2026)

Massive Redundancy in Gradient Transport Enables Sparse Online Learning
por: Merin, Aur Shalev
Publicado: (2026)

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
por: Ho, Siu Hang, et al.
Publicado: (2025)

Is Cambodia the World's Largest Cashew Producer?
por: Chaya, Veasna, et al.
Publicado: (2024)

Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
por: Mysore, Naveen
Publicado: (2026)

Regularisation in neural networks: a survey and empirical analysis of approaches
por: Opperman, Christiaan P., et al.
Publicado: (2026)

GraphNNK -- Graph Classification and Interpretability
por: Bolevic, Zeljko, et al.
Publicado: (2026)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
por: Alagöz, Celal, et al.
Publicado: (2026)

Expanding continual few-shot learning benchmarks to include recognition of specific instances
por: Kowadlo, Gideon, et al.
Publicado: (2022)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
por: Cabral, Rafael, et al.
Publicado: (2024)

Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
por: Manoj, Midhun
Publicado: (2025)

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
por: Sarabi, Ali, et al.
Publicado: (2025)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
por: Ojeda, Sebastian, et al.
Publicado: (2025)

Geodesic Calculus on Implicitly Defined Latent Manifolds
por: Hartwig, Florine, et al.
Publicado: (2025)

PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)

Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages
por: Schneider, Felix, et al.
Publicado: (2026)

Entropy Aware Message Passing in Graph Neural Networks
por: Nazari, Philipp, et al.
Publicado: (2024)

H-Model: Dynamic Neural Architectures for Adaptive Processing
por: Hospodarchuk, Dmytro
Publicado: (2025)

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
por: Loza, Andrew J., et al.
Publicado: (2025)

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
por: Johnson, David R., et al.
Publicado: (2025)

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
por: Mysore, Naveen
Publicado: (2026)

Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
por: Alnemari, Mohammed, et al.
Publicado: (2026)

CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
por: Cheohen, Caio, et al.
Publicado: (2025)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
por: Wibbeke, Jelke, et al.
Publicado: (2025)

Can Agentic AI Match the Performance of Human Data Scientists?
por: Luo, An, et al.
Publicado: (2025)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
por: Luo, An, et al.
Publicado: (2026)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
por: Lachapelle, Sébastien, et al.
Publicado: (2024)

EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines
por: Afonso, Tiago Vasconcelos, et al.
Publicado: (2025)

Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
por: Heurtebise, Ambroise, et al.
Publicado: (2025)

Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
por: Sharma, Paras, et al.
Publicado: (2026)

Combining Euclidean Alignment and Data Augmentation for BCI decoding
por: Rodrigues, Gustavo H., et al.
Publicado: (2024)

Divergence-Based Similarity Function for Multi-View Contrastive Learning
por: Jeon, Jae Hyoung, et al.
Publicado: (2025)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
por: Mukherjee, Debdeep, et al.
Publicado: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
por: K, Prasanth K, et al.
Publicado: (2025)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
por: Gu, Enhao, et al.
Publicado: (2025)