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Methodology
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Machine Learning
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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
Hold me tight! Influence of discriminative features on deep network boundaries
NIPS 2020
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
ICML 2020
Robust Encodings: A Framework for Combating Adversarial Typos
ACL 2020
Automatic Detection of Generated Text is Easiest when Humans are Fooled
ACL 2020
On Breaking Deep Generative Model-based Defenses and Beyond
ICML 2020
It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations
ACL 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images
JMLR 2020
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
AAAI 2020
Group-Wise Dynamic Dropout Based on Latent Semantic Variations
AAAI 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
AAAI 2020
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation
AAAI 2020
Amsqr at SemEval-2020 Task 12: Offensive Language Detection Using Neural Networks and Anti-adversarial Features
COLING 2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
AAAI 2020
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
AAAI 2020
Rank3DGAN: Semantic Mesh Generation Using Relative Attributes
AAAI 2020
Hidden Trigger Backdoor Attacks
AAAI 2020
Robustness for Non-Parametric Classification: A Generic Attack and Defense
AISTATS 2020
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
ICML 2020
Interpreting Robust Optimization via Adversarial Influence Functions
ICML 2020
Do GANs always have Nash equilibria?
ICML 2020
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
ICML 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
ICML 2020
Hierarchical Verification for Adversarial Robustness
ICML 2020
Adversarial Nonnegative Matrix Factorization
ICML 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
ICML 2020
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