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model robustness
478 papers
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adversarial attack
(1599)
adversarial training
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adversarial robustness
(1335)
text classification
(6776)
adversarial example
(563)
data augmentation
(3037)
large language model
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adversarial learning
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natural language processing
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domain generalization
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Papers
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
EMNLP 2023
Characterizing Internal Evasion Attacks in Federated Learning
AISTATS 2023
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View
EMNLP 2023
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks
ACL 2023
Learning to Ignore Adversarial Attacks
EACL 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
ICML 2023
ImageNet Pre-training Also Transfers Non-robustness
AAAI 2023
How Many and Which Training Points Would Need to be Removed to Flip this Prediction?
EACL 2023
Evaluating the Robustness of Discrete Prompts
EACL 2023
Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global Context
UAI 2023
Understanding and Enhancing Robustness of Concept-Based Models
AAAI 2023
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI
AAAI 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
EMNLP 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
ACML 2023
NormNet: Normalize Noun Phrases for More Robust NLP
ACL 2023
LMentry: A Language Model Benchmark of Elementary Language Tasks
ACL 2023
On Robustness of Finetuned Transformer-based NLP Models
EMNLP 2023
Towards Building More Robust Models with Frequency Bias
ICCV 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
ACL 2023
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach
EMNLP 2023
Alignment with human representations supports robust few-shot learning
NIPS 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
ACL 2023
Effective Targeted Attacks for Adversarial Self-Supervised Learning
NIPS 2023
Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View
NIPS 2023
Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script
ACL 2023
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