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Methodology
← Learning Types
Deep Learning
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Adversarial Learning
2063 directly classified papers
Papers per year
2010: 2
2014: 1
2015: 2
2016: 6
2017: 34
2018: 132
2019: 216
2020: 301
2021: 296
2022: 301
2023: 239
2024: 276
2025: 254
2026: 3
Papers
Fairness-Aware Neural Rényi Minimization for Continuous Features
IJCAI 2020
Adversarial Oracular Seq2seq Learning for Sequential Recommendation
IJCAI 2020
Rumor Detection on Social Media with Graph Structured Adversarial Learning
IJCAI 2020
JANE: Jointly Adversarial Network Embedding
IJCAI 2020
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
IJCAI 2020
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks
CVPR 2020
Reciprocal Adversarial Learning via Characteristic Functions
NIPS 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples
NIPS 2020
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
CVPR 2020
Robust Superpixel-Guided Attentional Adversarial Attack
CVPR 2020
Self-Robust 3D Point Recognition via Gather-Vector Guidance
CVPR 2020
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
CVPR 2020
ILFO: Adversarial Attack on Adaptive Neural Networks
CVPR 2020
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification
CVPR 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
AAAI 2020
Robustness to Programmable String Transformations via Augmented Abstract Training
ICML 2020
Adversarial Robustness via Runtime Masking and Cleansing
ICML 2020
Stronger and Faster Wasserstein Adversarial Attacks
ICML 2020
Bridging the Gap Between f-GANs and Wasserstein GANs
ICML 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
ICML 2020
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
ICML 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
ICML 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
ICML 2020
On Relativistic f-Divergences
ICML 2020
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
ICML 2020
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