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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
State-Aware Adversarial Training for Utterance-Level Dialogue Generation
EMNLP 2022
Probing Script Knowledge from Pre-Trained Models
EMNLP 2022
Adversarial Text-to-Speech for low-resource languages
EMNLP 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
ICML 2022
Information Discrepancy in Strategic Learning
ICML 2022
Structure-preserving GANs
ICML 2022
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
ICML 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning
ICML 2022
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
ICML 2022
Adversarial Vulnerability of Randomized Ensembles
ICML 2022
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
ICML 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
ICML 2022
On the Adversarial Robustness of Causal Algorithmic Recourse
ICML 2022
Greedy when Sure and Conservative when Uncertain about the Opponents
ICML 2022
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
ICML 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
ICML 2022
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
ICML 2022
A Regret Minimization Approach to Multi-Agent Control
ICML 2022
Fast Provably Robust Decision Trees and Boosting
ICML 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
ICML 2022
Conditional GANs with Auxiliary Discriminative Classifier
ICML 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
ICML 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
ICML 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors
ICML 2022
Learning fair representation with a parametric integral probability metric
ICML 2022
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