Guardado en:
| Autores principales: | Korotkova, Kristina, Katrutsa, Aleksandr |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2512.10936 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models
por: Matveeva, Tatyana, et al.
Publicado: (2025)
por: Matveeva, Tatyana, et al.
Publicado: (2025)
Functional multi-armed bandit and the best function identification problems
por: Dorn, Yuriy, et al.
Publicado: (2025)
por: Dorn, Yuriy, et al.
Publicado: (2025)
DFWLayer: Differentiable Frank-Wolfe Optimization Layer
por: Liu, Zixuan, et al.
Publicado: (2023)
por: Liu, Zixuan, et al.
Publicado: (2023)
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
por: Xue, Yunzhe, et al.
Publicado: (2024)
por: Xue, Yunzhe, et al.
Publicado: (2024)
Thundernna: a white box adversarial attack
por: Ye, Linfeng, et al.
Publicado: (2021)
por: Ye, Linfeng, et al.
Publicado: (2021)
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
por: Chen, Hao Mark, et al.
Publicado: (2025)
por: Chen, Hao Mark, et al.
Publicado: (2025)
Fixed-point graph convolutional networks against adversarial attacks
por: Khan, Shakib, et al.
Publicado: (2025)
por: Khan, Shakib, et al.
Publicado: (2025)
Deep generative models as an adversarial attack strategy for tabular machine learning
por: Dyrmishi, Salijona, et al.
Publicado: (2024)
por: Dyrmishi, Salijona, et al.
Publicado: (2024)
How adversarial attacks can disrupt seemingly stable accurate classifiers
por: Sutton, Oliver J., et al.
Publicado: (2023)
por: Sutton, Oliver J., et al.
Publicado: (2023)
Properties that allow or prohibit transferability of adversarial attacks among quantized networks
por: Shrestha, Abhishek, et al.
Publicado: (2024)
por: Shrestha, Abhishek, et al.
Publicado: (2024)
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning
por: García-Márquez, Mario, et al.
Publicado: (2025)
por: García-Márquez, Mario, et al.
Publicado: (2025)
FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection
por: Lunghi, Daniele, et al.
Publicado: (2025)
por: Lunghi, Daniele, et al.
Publicado: (2025)
Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation
por: Sun, Peiran
Publicado: (2025)
por: Sun, Peiran
Publicado: (2025)
Enhancing generalization in high energy physics using white-box adversarial attacks
por: Rothen, Franck, et al.
Publicado: (2024)
por: Rothen, Franck, et al.
Publicado: (2024)
RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients
por: Rodríguez-Barroso, Nuria, et al.
Publicado: (2024)
por: Rodríguez-Barroso, Nuria, et al.
Publicado: (2024)
Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe
por: Thekumparampil, Kiran Koshy, et al.
Publicado: (2024)
por: Thekumparampil, Kiran Koshy, et al.
Publicado: (2024)
PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection
por: Li, Xiao, et al.
Publicado: (2025)
por: Li, Xiao, et al.
Publicado: (2025)
Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise
por: Chicchi, Lorenzo, et al.
Publicado: (2024)
por: Chicchi, Lorenzo, et al.
Publicado: (2024)
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
por: Song, Jialei, et al.
Publicado: (2025)
por: Song, Jialei, et al.
Publicado: (2025)
Quantifying construct validity in large language model evaluations
por: Kearns, Ryan Othniel
Publicado: (2026)
por: Kearns, Ryan Othniel
Publicado: (2026)
Can Go AIs be adversarially robust?
por: Tseng, Tom, et al.
Publicado: (2024)
por: Tseng, Tom, et al.
Publicado: (2024)
NODE-AdvGAN: Improving the transferability and perceptual similarity of adversarial examples by dynamic-system-driven adversarial generative model
por: Xie, Xinheng, et al.
Publicado: (2024)
por: Xie, Xinheng, et al.
Publicado: (2024)
Deep MMD Gradient Flow without adversarial training
por: Galashov, Alexandre, et al.
Publicado: (2024)
por: Galashov, Alexandre, et al.
Publicado: (2024)
Enhancing web traffic attacks identification through ensemble methods and feature selection
por: Urda, Daniel, et al.
Publicado: (2024)
por: Urda, Daniel, et al.
Publicado: (2024)
Towards more transferable adversarial attack in black-box manner
por: Lei, Chun Tong, et al.
Publicado: (2025)
por: Lei, Chun Tong, et al.
Publicado: (2025)
Missing value imputation with adversarial random forests -- MissARF
por: Golchian, Pegah, et al.
Publicado: (2025)
por: Golchian, Pegah, et al.
Publicado: (2025)
Robust NAS under adversarial training: benchmark, theory, and beyond
por: Wu, Yongtao, et al.
Publicado: (2024)
por: Wu, Yongtao, et al.
Publicado: (2024)
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node
por: Mikhalev, Aleksandr, et al.
Publicado: (2025)
por: Mikhalev, Aleksandr, et al.
Publicado: (2025)
From Black-box to Causal-box: Towards Building More Interpretable Models
por: Hwang, Inwoo, et al.
Publicado: (2025)
por: Hwang, Inwoo, et al.
Publicado: (2025)
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
por: Beznosikov, Aleksandr, et al.
Publicado: (2023)
por: Beznosikov, Aleksandr, et al.
Publicado: (2023)
Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents
por: Leong, Jun Wen
Publicado: (2026)
por: Leong, Jun Wen
Publicado: (2026)
Saliency strikes back: How filtering out high frequencies improves white-box explanations
por: Muzellec, Sabine, et al.
Publicado: (2023)
por: Muzellec, Sabine, et al.
Publicado: (2023)
Concealed Adversarial attacks on neural networks for sequential data
por: Sokerin, Petr, et al.
Publicado: (2025)
por: Sokerin, Petr, et al.
Publicado: (2025)
Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
por: Mohammadi, Hadi, et al.
Publicado: (2025)
por: Mohammadi, Hadi, et al.
Publicado: (2025)
Enhancing robustness of data-driven SHM models: adversarial training with circle loss
por: Yang, Xiangli, et al.
Publicado: (2024)
por: Yang, Xiangli, et al.
Publicado: (2024)
Cluster Topology-Driven Placement of Experts Reduces Network Traffic in MoE Inference
por: Sivtsov, Danil, et al.
Publicado: (2025)
por: Sivtsov, Danil, et al.
Publicado: (2025)
HINTBench: Horizon-agent Intrinsic Non-attack Trajectory Benchmark
por: Wang, Jiacheng, et al.
Publicado: (2026)
por: Wang, Jiacheng, et al.
Publicado: (2026)
Seismic full-waveform inversion based on a physics-driven generative adversarial network
por: Zhang, Xinyi, et al.
Publicado: (2026)
por: Zhang, Xinyi, et al.
Publicado: (2026)
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
por: Wu, Yinting, et al.
Publicado: (2024)
por: Wu, Yinting, et al.
Publicado: (2024)
Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning
por: Black, James R. M., et al.
Publicado: (2025)
por: Black, James R. M., et al.
Publicado: (2025)
Ejemplares similares
-
Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models
por: Matveeva, Tatyana, et al.
Publicado: (2025) -
Functional multi-armed bandit and the best function identification problems
por: Dorn, Yuriy, et al.
Publicado: (2025) -
DFWLayer: Differentiable Frank-Wolfe Optimization Layer
por: Liu, Zixuan, et al.
Publicado: (2023) -
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
por: Xue, Yunzhe, et al.
Publicado: (2024) -
Thundernna: a white box adversarial attack
por: Ye, Linfeng, et al.
Publicado: (2021)