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← Learning Types
Machine Learning
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Learning Types
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Adversarial Learning
4,854 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
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack
CVPR 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
CVPR 2021
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection
CVPR 2021
Towards Evaluating and Training Verifiably Robust Neural Networks
CVPR 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
CVPR 2021
Adversarial Invariant Learning
CVPR 2021
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training
CVPR 2021
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball
CVPR 2021
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
EACL 2021
Adv-OLM: Generating Textual Adversaries via OLM
EACL 2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
EACL 2021
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
EACL 2021
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning
EACL 2021
Diverse Adversaries for Mitigating Bias in Training
EACL 2021
Model Agnostic Answer Reranking System for Adversarial Question Answering
EACL 2021
Conditional Adversarial Networks for Multi-Domain Text Classification
EACL 2021
The impact of domain-specific representations on BERT-based multi-domain spoken language understanding
EACL 2021
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.
EACL 2021
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT
EACL 2021
DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic
EACL 2021
Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing
EACL 2021
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
Achieving Model Robustness through Discrete Adversarial Training
EMNLP 2021
On the Transferability of Adversarial Attacks against Neural Text Classifier
EMNLP 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
EMNLP 2021
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