Imagen de Portada

Concealed Adversarial attacks on neural networks for sequential data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sokerin, Petr, Anikin, Dmitry, Krehova, Sofia, Zaytsev, Alexey
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

Parameter-Efficient Neural CDEs via Implicit Function Jacobians
por: Kuleshov, Ilya, et al.
Publicado: (2025)

A theoretical framework for self-supervised contrastive learning for continuous dependent data
por: Marusov, Alexander, et al.
Publicado: (2025)

WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection
por: Stepikin, Alexander, et al.
Publicado: (2025)

Normalizing self-supervised learning for provably reliable Change Point Detection
por: Bazarova, Alexandra, et al.
Publicado: (2024)

Holistic Uncertainty Estimation For Open-Set Recognition
por: Erlygin, Leonid, et al.
Publicado: (2024)

Looking around you: external information enhances representations for event sequences
por: Sokerin, Petr, et al.
Publicado: (2025)

Effective backdoor attack on graph neural networks in link prediction tasks
por: Dai, Jiazhu, et al.
Publicado: (2024)

Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust
por: Erlygin, Leonid, et al.
Publicado: (2023)

DeNOTS: Stable Deep Neural ODEs for Time Series
por: Kuleshov, Ilya, et al.
Publicado: (2024)

From Causal Discovery to Dynamic Causal Inference in Neural Time Series
por: Zaytsev, Dmitry, et al.
Publicado: (2026)

Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
por: Kuskova, Valentina, et al.
Publicado: (2026)

Fixed-point graph convolutional networks against adversarial attacks
por: Khan, Shakib, et al.
Publicado: (2025)

Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
por: Xue, Yunzhe, et al.
Publicado: (2024)

Properties that allow or prohibit transferability of adversarial attacks among quantized networks
por: Shrestha, Abhishek, et al.
Publicado: (2024)

Longitudinal Ensemble Integration for sequential classification with multimodal data
por: Susman, Aviad, et al.
Publicado: (2024)

Sobolev acceleration for neural networks
por: Oh, Jong Kwon, et al.
Publicado: (2025)

On permutation-invariant neural networks
por: Kimura, Masanari, et al.
Publicado: (2024)

Attention mechanisms in neural networks
por: Hays, Hasi
Publicado: (2026)

Linearity-based neural network compression
por: Dobler, Silas, et al.
Publicado: (2025)

Principles of Lipschitz continuity in neural networks
por: Luo, Róisín
Publicado: (2026)

Interpretable global minima of deep ReLU neural networks on sequentially separable data
por: Chen, Thomas, et al.
Publicado: (2024)

Applying graph neural network to SupplyGraph for supply chain network
por: Han, Kihwan
Publicado: (2024)

Understanding the dynamics of the frequency bias in neural networks
por: Molina, Juan, et al.
Publicado: (2024)

Graph neural networks informed locally by thermodynamics
por: Tierz, Alicia, et al.
Publicado: (2024)

Graph neural networks and non-commuting operators
por: Velasco, Mauricio, et al.
Publicado: (2024)

LayerCollapse: Adaptive compression of neural networks
por: Shabgahi, Soheil Zibakhsh, et al.
Publicado: (2023)

On The Expressive Power of Knowledge Graph Embedding Methods
por: Gao, Jiexing, et al.
Publicado: (2024)

From Variability to Stability: Advancing RecSys Benchmarking Practices
por: Shevchenko, Valeriy, et al.
Publicado: (2024)

Fairness under uncertainty in sequential decisions
por: Lee, Michelle Seng Ah, et al.
Publicado: (2026)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
por: Tarasov, Roman, et al.
Publicado: (2025)

Randomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective
por: Tucny, Jean-Michel, et al.
Publicado: (2025)

Segment Concealed Objects with Incomplete Supervision
por: He, Chunming, et al.
Publicado: (2025)

Dopamine-driven synaptic credit assignment in neural networks
por: Nambusubramaniyan, Saranraj, et al.
Publicado: (2025)

Elimination-compensation pruning for fully-connected neural networks
por: Ballini, Enrico, et al.
Publicado: (2026)

Planning in a recurrent neural network that plays Sokoban
por: Taufeeque, Mohammad, et al.
Publicado: (2024)

Understanding polysemanticity in neural networks through coding theory
por: Marshall, Simon C., et al.
Publicado: (2024)

Variational autoencoder-based neural network model compression
por: Cheng, Liang, et al.
Publicado: (2024)

Conditional computation in neural networks: principles and research trends
por: Scardapane, Simone, et al.
Publicado: (2024)

Deep neural networks have an inbuilt Occam's razor
por: Mingard, Chris, et al.
Publicado: (2023)

Utilizing Lyapunov Exponents in designing deep neural networks
por: Mittra, Tirthankar
Publicado: (2024)