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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
Deep Recurrent Belief Propagation Network for POMDPs
AAAI 2021
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
AAAI 2021
Towards Feature Space Adversarial Attack by Style Perturbation
AAAI 2021
Adversarial Partial Multi-Label Learning with Label Disambiguation
AAAI 2021
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
AAAI 2021
Characterizing the Evasion Attackability of Multi-label Classifiers
AAAI 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration
AAAI 2021
How Does Data Augmentation Affect Privacy in Machine Learning?
AAAI 2021
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
AAAI 2021
Improved Consistency Regularization for GANs
AAAI 2021
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
AAAI 2021
A Generative Adversarial Framework for Bounding Confounded Causal Effects
AAAI 2021
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
AAAI 2021
Generating Natural Language Attacks in a Hard Label Black Box Setting
AAAI 2021
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks
AAAI 2021
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
AAAI 2021
TextGAIL: Generative Adversarial Imitation Learning for Text Generation
AAAI 2021
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
AAAI 2021
Adversarial Language Games for Advanced Natural Language Intelligence
AAAI 2021
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization
AAAI 2021
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
AAAI 2021
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
AAAI 2021
GANs Unplugged
AAAI 2021
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract)
AAAI 2021
Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract)
AAAI 2021
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