Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling
Fuente:
arXiv
Guardado en:
| Autores principales: | Ning, Jie, Sun, Jiebao, Shi, Shengzhu, Guo, Zhichang, Li, Yao, Li, Hongwei, Wu, Boying |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
por: Ning, Jie, et al.
Publicado: (2023)
por: Ning, Jie, et al.
Publicado: (2023)
An Effective Level Set Method With Molecular Beam Epitaxy Regularization for Color‐Texture Image Segmentation
por: Fanghui Song, et al.
Publicado: (2025)
por: Fanghui Song, et al.
Publicado: (2025)
Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
por: Khine, Ei Hmue, et al.
Publicado: (2026)
por: Khine, Ei Hmue, et al.
Publicado: (2026)
PINNsFailureRegion Localization and Refinement through White-box AdversarialAttack
por: Shi, Shengzhu, et al.
Publicado: (2023)
por: Shi, Shengzhu, et al.
Publicado: (2023)
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
por: Song, Fanghui, et al.
Publicado: (2023)
por: Song, Fanghui, et al.
Publicado: (2023)
TA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation
por: Gou, Yue, et al.
Publicado: (2025)
por: Gou, Yue, et al.
Publicado: (2025)
Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas Segmentation
por: Gou, Yue, et al.
Publicado: (2024)
por: Gou, Yue, et al.
Publicado: (2024)
SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement
por: Song, Jiachen, et al.
Publicado: (2026)
por: Song, Jiachen, et al.
Publicado: (2026)
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
por: Gao, Junqi, et al.
Publicado: (2024)
por: Gao, Junqi, et al.
Publicado: (2024)
Boosting the Generalization Ability for Hyperspectral Image Classification using Spectral-spatial Axial Aggregation Transformer
por: Zhao, Enzhe, et al.
Publicado: (2023)
por: Zhao, Enzhe, et al.
Publicado: (2023)
Variable-order fractional 1-Laplacian diffusion equations for multiplicative noise removal
por: Li, Yuhang, et al.
Publicado: (2023)
por: Li, Yuhang, et al.
Publicado: (2023)
Incorporating Local Hölder Regularity into PINNs for Solving Elliptic PDEs
por: Zhou, Qirui, et al.
Publicado: (2025)
por: Zhou, Qirui, et al.
Publicado: (2025)
On a nonlinear nonlocal reaction-diffusion system applied to image restoration
por: Li, Yuhang, et al.
Publicado: (2024)
por: Li, Yuhang, et al.
Publicado: (2024)
Progressive Alignment Degradation Learning for Pansharpening
por: Zhao, Enzhe, et al.
Publicado: (2025)
por: Zhao, Enzhe, et al.
Publicado: (2025)
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation
por: Ran, Yi, et al.
Publicado: (2024)
por: Ran, Yi, et al.
Publicado: (2024)
A class of thin-film equations with space-time dependent gradient nonlinearity and its application to image sharpening
por: Li, Yuhang, et al.
Publicado: (2025)
por: Li, Yuhang, et al.
Publicado: (2025)
TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection
por: Gao, Weijun, et al.
Publicado: (2025)
por: Gao, Weijun, et al.
Publicado: (2025)
Coupling local and nonlocal total variation flow for image despeckling
por: Ran, Yi, et al.
Publicado: (2025)
por: Ran, Yi, et al.
Publicado: (2025)
Distributed Time-Varying Optimization via Unbiased Extremum Seeking
por: Li, Xuebin, et al.
Publicado: (2025)
por: Li, Xuebin, et al.
Publicado: (2025)
Are Deep Speech Denoising Models Robust to Adversarial Noise?
por: Schwarzer, Will, et al.
Publicado: (2025)
por: Schwarzer, Will, et al.
Publicado: (2025)
On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Models
por: Yang, April, et al.
Publicado: (2024)
por: Yang, April, et al.
Publicado: (2024)
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs
por: Sen, Jaydip, et al.
Publicado: (2025)
por: Sen, Jaydip, et al.
Publicado: (2025)
Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks
por: Alipour, Nasrin, et al.
Publicado: (2024)
por: Alipour, Nasrin, et al.
Publicado: (2024)
A Time‐Fractional Equation With the Gray Level Indicator for Image Multiplicative Noise Removal
por: Wenjuan Yao, et al.
Publicado: (2025)
por: Wenjuan Yao, et al.
Publicado: (2025)
Towards Frequency-Adaptive Learning for SAR Despeckling
por: Ma, Ziqing, et al.
Publicado: (2025)
por: Ma, Ziqing, et al.
Publicado: (2025)
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
por: Zhou, Zhi, et al.
Publicado: (2024)
por: Zhou, Zhi, et al.
Publicado: (2024)
Randomized Kaczmarz in Adversarial Distributed Setting
por: Huang, Longxiu, et al.
Publicado: (2023)
por: Huang, Longxiu, et al.
Publicado: (2023)
Theoretical Identification on Typical Fe3X (X=B, C, N) Compounds for Polysulfide Conversion in Lithium‐Sulfur Batteries
por: Hongxu Sun, et al.
Publicado: (2024)
por: Hongxu Sun, et al.
Publicado: (2024)
Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching
por: Song, Fanghui, et al.
Publicado: (2025)
por: Song, Fanghui, et al.
Publicado: (2025)
Locally Typical Sampling
por: Meister, Clara, et al.
Publicado: (2022)
por: Meister, Clara, et al.
Publicado: (2022)
Comparison of the Glucocorticoid Receptor Binding and Agonist Activities of Typical Glucocorticoids: Insights into Their Endocrine Disrupting Effects
por: Yuan Liang, et al.
Publicado: (2024)
por: Yuan Liang, et al.
Publicado: (2024)
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
por: Mirzaei, Hossein, et al.
Publicado: (2024)
por: Mirzaei, Hossein, et al.
Publicado: (2024)
Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning
por: Guo, Zilu, et al.
Publicado: (2023)
por: Guo, Zilu, et al.
Publicado: (2023)
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
por: Li, Jinglun, et al.
Publicado: (2025)
por: Li, Jinglun, et al.
Publicado: (2025)
Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation
por: Yang, Xikai, et al.
Publicado: (2026)
por: Yang, Xikai, et al.
Publicado: (2026)
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
por: Liu, Yuhang, et al.
Publicado: (2025)
por: Liu, Yuhang, et al.
Publicado: (2025)
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
por: Li, Zhenhao, et al.
Publicado: (2024)
por: Li, Zhenhao, et al.
Publicado: (2024)
Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
por: Capelli, Lorenzo, et al.
Publicado: (2025)
por: Capelli, Lorenzo, et al.
Publicado: (2025)
Robust Out-of-Distribution Stochastic Optimization
por: Li, Xianyu, et al.
Publicado: (2026)
por: Li, Xianyu, et al.
Publicado: (2026)
Distribution Enhancement for Imbalanced Data with Generative Adversarial Network
por: Yueqi Chen, et al.
Publicado: (2024)
por: Yueqi Chen, et al.
Publicado: (2024)
Ejemplares similares
-
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
por: Ning, Jie, et al.
Publicado: (2023) -
An Effective Level Set Method With Molecular Beam Epitaxy Regularization for Color‐Texture Image Segmentation
por: Fanghui Song, et al.
Publicado: (2025) -
Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
por: Khine, Ei Hmue, et al.
Publicado: (2026) -
PINNsFailureRegion Localization and Refinement through White-box AdversarialAttack
por: Shi, Shengzhu, et al.
Publicado: (2023) -
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
por: Song, Fanghui, et al.
Publicado: (2023)