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Robustness
529 directly classified papers
Papers per year
2006: 1
2010: 2
2011: 1
2012: 3
2013: 4
2014: 6
2015: 6
2016: 4
2017: 6
2018: 11
2019: 34
2020: 59
2021: 61
2022: 105
2023: 78
2024: 97
2025: 51
Papers
Toward More Generalized Malicious URL Detection Models
AAAI 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
AAAI 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
CVPR 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
AAAI 2024
Fostering Trustworthiness in Machine Learning Algorithms
AAAI 2024
Towards Trustworthy Deep Learning
AAAI 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch
AAAI 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
CVPR 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)
AAAI 2024
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
CVPR 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness
CVPR 2024
Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation
ACL 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias.
ACL 2024
Distantly-Supervised Joint Extraction with Noise-Robust Learning
ACL 2024
Agnostic Multi-Robust Learning using ERM
AISTATS 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Prior Knowledge-Guided Adversarial Training
ACL 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
ACL 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models
ACL 2024
Robust Image Denoising through Adversarial Frequency Mixup
CVPR 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
ACL 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
CVPR 2024
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
High-dimensional (Group) Adversarial Training in Linear Regression
NIPS 2024
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