Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Chen, Xu, Xinjie, Cheng, Shuyu, Xuan, Qi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
by: Xu, Xinjie, et al.
Published: (2025)
by: Xu, Xinjie, et al.
Published: (2025)
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)
by: Feng, Zhou, et al.
Published: (2025)
Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
by: Ghosh, Sucheta, et al.
Published: (2026)
by: Ghosh, Sucheta, et al.
Published: (2026)
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications
by: Lee, Joshua, et al.
Published: (2025)
by: Lee, Joshua, et al.
Published: (2025)
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
by: Youssef, Michel
Published: (2025)
by: Youssef, Michel
Published: (2025)
Binary Image-Based Intrusion Detection for Operational Technology Networks: Extending the SPHBI Methodology from IoT to Modbus TCP
by: Omar, Aamir
Published: (2026)
by: Omar, Aamir
Published: (2026)
Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
by: McCully, Gary A., et al.
Published: (2024)
by: McCully, Gary A., et al.
Published: (2024)
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code
by: McCully, Gary A., et al.
Published: (2024)
by: McCully, Gary A., et al.
Published: (2024)
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code
by: McCully, Gary A., et al.
Published: (2024)
by: McCully, Gary A., et al.
Published: (2024)
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)
A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs
by: Coelho, C., et al.
Published: (2023)
by: Coelho, C., et al.
Published: (2023)
Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)
by: Williamson, Dane, et al.
Published: (2025)
Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
by: Rosenhoover, Marshall, et al.
Published: (2025)
by: Rosenhoover, Marshall, et al.
Published: (2025)
Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
by: Uehara, Eichi
Published: (2026)
by: Uehara, Eichi
Published: (2026)
Breaking the Illusion of Security via Interpretation: Interpretable Vision Transformer Systems under Attack
by: Abdukhamidov, Eldor, et al.
Published: (2025)
by: Abdukhamidov, Eldor, et al.
Published: (2025)
Transfer learning for nonparametric Bayesian networks
by: Sojo, Rafael, et al.
Published: (2026)
by: Sojo, Rafael, et al.
Published: (2026)
Beyond Normality: Reliable A/B Testing with Non-Gaussian Data
by: Gong, Junpeng, et al.
Published: (2025)
by: Gong, Junpeng, et al.
Published: (2025)
TRIGS: Trojan Identification from Gradient-based Signatures
by: Hussein, Mohamed E., et al.
Published: (2023)
by: Hussein, Mohamed E., et al.
Published: (2023)
Combining Euclidean Alignment and Data Augmentation for BCI decoding
by: Rodrigues, Gustavo H., et al.
Published: (2024)
by: Rodrigues, Gustavo H., et al.
Published: (2024)
One-shot Generative Distribution Matching for Augmented RF-based UAV Identification
by: Kazemi, Amir, et al.
Published: (2023)
by: Kazemi, Amir, et al.
Published: (2023)
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026)
by: Schneider, Jesse, et al.
Published: (2026)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations
by: Bird, George
Published: (2025)
by: Bird, George
Published: (2025)
AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
by: Katakam, Raj Kiran Gupta
Published: (2026)
by: Katakam, Raj Kiran Gupta
Published: (2026)
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
by: Lachapelle, Sébastien, et al.
Published: (2024)
by: Lachapelle, Sébastien, et al.
Published: (2024)
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
by: Dutta, Utsav, et al.
Published: (2026)
by: Dutta, Utsav, et al.
Published: (2026)
Mamba base PKD for efficient knowledge compression
by: Medina, José, et al.
Published: (2025)
by: Medina, José, et al.
Published: (2025)
Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation
by: Steele, Brady
Published: (2026)
by: Steele, Brady
Published: (2026)
ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
by: Yong, Shim Soon
Published: (2025)
by: Yong, Shim Soon
Published: (2025)
Feature emergence via margin maximization: case studies in algebraic tasks
by: Morwani, Depen, et al.
Published: (2023)
by: Morwani, Depen, et al.
Published: (2023)
Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
by: Goel, Astitva, et al.
Published: (2026)
by: Goel, Astitva, et al.
Published: (2026)
SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization
by: Mohanty, Sampad, et al.
Published: (2026)
by: Mohanty, Sampad, et al.
Published: (2026)
Contrastive Representation Modeling for Anomaly Detection
by: Lunardi, Willian T., et al.
Published: (2025)
by: Lunardi, Willian T., et al.
Published: (2025)
Improving Consistency in Large Language Models through Chain of Guidance
by: Raj, Harsh, et al.
Published: (2025)
by: Raj, Harsh, et al.
Published: (2025)
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)
by: Belucci, Bruno, et al.
Published: (2025)
Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)
by: Nazari, Philipp, et al.
Published: (2024)
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)
by: Herde, Marek, et al.
Published: (2024)
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)
by: Hung, Wei, et al.
Published: (2025)
Structured Contrastive Learning for Interpretable Latent Representations
by: Shen, Zhengyang, et al.
Published: (2025)
by: Shen, Zhengyang, et al.
Published: (2025)
Similar Items
-
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
by: Xu, Xinjie, et al.
Published: (2025) -
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025) -
Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
by: Ghosh, Sucheta, et al.
Published: (2026) -
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024) -
SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications
by: Lee, Joshua, et al.
Published: (2025)