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Methodology
← Learning Types
Machine Learning
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Learning Types
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Adversarial Learning
4854 directly classified papers
Papers per year
2006: 3
2007: 1
2009: 4
2010: 6
2011: 3
2012: 5
2013: 10
2014: 6
2015: 8
2016: 18
2017: 87
2018: 261
2019: 551
2020: 588
2021: 703
2022: 633
2023: 672
2024: 579
2025: 561
2026: 155
Papers
Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network
NIPS 2023
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
NIPS 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
AISTATS 2023
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
AISTATS 2023
Aambela at BLP-2023 Task 2: Enhancing BanglaBERT Performance for Bangla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation
EMNLP 2023
Adversarial Text Generation by Search and Learning
EMNLP 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation
EMNLP 2023
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference
EMNLP 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers
EMNLP 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance
ICML 2023
Identification of the Adversary from a Single Adversarial Example
ICML 2023
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction
AAAI 2023
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations
AAAI 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage
AAAI 2023
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context
ACL 2023
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions
EMNLP 2023
Adversarial Multi-task Learning for End-to-end Metaphor Detection
ACL 2023
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
EMNLP 2023
End-to-end Adversarial Sample Generation for Data Augmentation
EMNLP 2023
Margin-based Neural Network Watermarking
ICML 2023
Are Synonym Substitution Attacks Really Synonym Substitution Attacks?
ACL 2023
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
ACL 2023
Directed Chain Generative Adversarial Networks
ICML 2023
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