Saved in:
| Main Authors: | Le, Minh, Cao, Phuong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.13303 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized knowledge-enhanced framework for biomedical entity and relation extraction
by: Nguyen, Minh, et al.
Published: (2024)
by: Nguyen, Minh, et al.
Published: (2024)
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
by: Xue, Jieying, et al.
Published: (2025)
by: Xue, Jieying, et al.
Published: (2025)
Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
by: Xue, Jieying, et al.
Published: (2024)
by: Xue, Jieying, et al.
Published: (2024)
A Robust Certified Machine Unlearning Method Under Distribution Shift
by: Guo, Jinduo, et al.
Published: (2026)
by: Guo, Jinduo, et al.
Published: (2026)
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
by: Pal, Ambar, et al.
Published: (2024)
by: Pal, Ambar, et al.
Published: (2024)
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
by: Delattre, Blaise, et al.
Published: (2026)
by: Delattre, Blaise, et al.
Published: (2026)
Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations
by: Le, Phuong Quynh, et al.
Published: (2024)
by: Le, Phuong Quynh, et al.
Published: (2024)
Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
by: Largeau, Louise, et al.
Published: (2025)
by: Largeau, Louise, et al.
Published: (2025)
Beyond Forgetting: Machine Unlearning Elicits Controllable Side Behaviors and Capabilities
by: Dang, Tien, et al.
Published: (2026)
by: Dang, Tien, et al.
Published: (2026)
A Recipe for Improved Certifiable Robustness
by: Hu, Kai, et al.
Published: (2023)
by: Hu, Kai, et al.
Published: (2023)
Learning Better Certified Models from Empirically-Robust Teachers
by: De Palma, Alessandro
Published: (2026)
by: De Palma, Alessandro
Published: (2026)
Certifiably Robust Encoding Schemes
by: Saxena, Aman, et al.
Published: (2024)
by: Saxena, Aman, et al.
Published: (2024)
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023)
by: Le, Phuong Quynh, et al.
Published: (2023)
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
by: Le, Minh, et al.
Published: (2024)
by: Le, Minh, et al.
Published: (2024)
Metacognitive Sensitivity for Test-Time Dynamic Model Selection
by: Trinh, Le Tuan Minh, et al.
Published: (2025)
by: Trinh, Le Tuan Minh, et al.
Published: (2025)
A Tale of Two Variances: When Single-Seed Benchmarks Fail in Bayesian Deep Learning
by: Zhan, Qishi, et al.
Published: (2026)
by: Zhan, Qishi, et al.
Published: (2026)
Certifying Robustness via Topological Representations
by: Agerberg, Jens, et al.
Published: (2025)
by: Agerberg, Jens, et al.
Published: (2025)
Position: Certified Robustness Does Not (Yet) Imply Model Security
by: Cullen, Andrew C., et al.
Published: (2025)
by: Cullen, Andrew C., et al.
Published: (2025)
The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse
by: Sharma, Ekansh, et al.
Published: (2024)
by: Sharma, Ekansh, et al.
Published: (2024)
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
by: Najafi, Amir, et al.
Published: (2024)
by: Najafi, Amir, et al.
Published: (2024)
Laplace-Bridged Randomized Smoothing for Fast Certified Robustness
by: Lin, Miao, et al.
Published: (2026)
by: Lin, Miao, et al.
Published: (2026)
BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration
by: Hou, Jun, et al.
Published: (2025)
by: Hou, Jun, et al.
Published: (2025)
When Does Pairing Seeds Reduce Variance? Evidence from a Multi-Agent Economic Simulation
by: Sharma, Udit
Published: (2025)
by: Sharma, Udit
Published: (2025)
Certified Causal Defense with Generalizable Robustness
by: Qiao, Yiran, et al.
Published: (2024)
by: Qiao, Yiran, et al.
Published: (2024)
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
by: Gao, Weizhi, et al.
Published: (2024)
by: Gao, Weizhi, et al.
Published: (2024)
CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)
by: Sadig, Daniel, et al.
Published: (2026)
On Using Certified Training towards Empirical Robustness
by: De Palma, Alessandro, et al.
Published: (2024)
by: De Palma, Alessandro, et al.
Published: (2024)
Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)
by: Li, You, et al.
Published: (2024)
Lipschitz-aware Linearity Grafting for Certified Robustness
by: Han, Yongjin, et al.
Published: (2025)
by: Han, Yongjin, et al.
Published: (2025)
Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention
by: Phuong, Nguyen Minh, et al.
Published: (2026)
by: Phuong, Nguyen Minh, et al.
Published: (2026)
Detecting and Rectifying Noisy Labels: A Similarity-based Approach
by: Huu-Tien, Dang, et al.
Published: (2025)
by: Huu-Tien, Dang, et al.
Published: (2025)
A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
by: Hieu, Nong Minh, et al.
Published: (2026)
by: Hieu, Nong Minh, et al.
Published: (2026)
Certifiably Robust Image Watermark
by: Jiang, Zhengyuan, et al.
Published: (2024)
by: Jiang, Zhengyuan, et al.
Published: (2024)
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
by: Liu, Shijie, et al.
Published: (2026)
by: Liu, Shijie, et al.
Published: (2026)
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
by: Sun, Alan, et al.
Published: (2024)
by: Sun, Alan, et al.
Published: (2024)
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
by: Chen, Cheng, et al.
Published: (2021)
by: Chen, Cheng, et al.
Published: (2021)
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)
by: Chen, Huanran, et al.
Published: (2024)
Robust Training of Federated Models with Extremely Label Deficiency
by: Zhang, Yonggang, et al.
Published: (2024)
by: Zhang, Yonggang, et al.
Published: (2024)
Robust Learning of Diffusion Models with Extremely Noisy Conditions
by: Chen, Xin, et al.
Published: (2025)
by: Chen, Xin, et al.
Published: (2025)
Similar Items
-
Generalized knowledge-enhanced framework for biomedical entity and relation extraction
by: Nguyen, Minh, et al.
Published: (2024) -
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
by: Xue, Jieying, et al.
Published: (2025) -
Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024) -
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
by: Xue, Jieying, et al.
Published: (2024) -
A Robust Certified Machine Unlearning Method Under Distribution Shift
by: Guo, Jinduo, et al.
Published: (2026)