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Methodology
← Learning Types
Deep Learning
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Learning Types
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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
Improving Visual Representation Learning Through Perceptual Understanding
CVPR 2023
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
CVPR 2023
Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains
CVPR 2023
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
CVPR 2023
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
CVPR 2023
StyLess: Boosting the Transferability of Adversarial Examples
CVPR 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
CVPR 2023
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
CVPR 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification
SEMEVAL 2023
Privacy-Preserving Adversarial Facial Features
CVPR 2023
Trade-Off Between Robustness and Accuracy of Vision Transformers
CVPR 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
CVPR 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization
CVPR 2023
Practical Disruption of Image Translation Deepfake Networks
AAAI 2023
Memorization Weights for Instance Reweighting in Adversarial Training
AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy
AAAI 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
AAAI 2023
Architectural Backdoors in Neural Networks
CVPR 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack
AAAI 2023
Invariant Representations with Stochastically Quantized Neural Networks
AAAI 2023
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
AAAI 2023
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos
AAAI 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
AAAI 2023
Imperceptible Adversarial Attack via Invertible Neural Networks
AAAI 2023
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