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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
GRIT: GAN Residuals for Paired Image-to-Image Translation
WACV 2024
Painterly Image Harmonization via Adversarial Residual Learning
WACV 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
NIPS 2024
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
AAAI 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
SynthProv: Interpretable Framework for Profiling Identity Leakage
WACV 2024
Exploring Adversarial Robustness of Deep State Space Models
NIPS 2024
FacadeNet: Conditional Facade Synthesis via Selective Editing
WACV 2024
P2D: Plug and Play Discriminator for Accelerating GAN Frameworks
WACV 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NIPS 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers
AAAI 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
AAAI 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
WACV 2024
Diffusion Models Meet Image Counter-Forensics
WACV 2024
Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning
WACV 2024
Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder
WACV 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
AAAI 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
WACV 2024
Improving the Fairness of the Min-Max Game in GANs Training
WACV 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
WACV 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting
WACV 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Toward More Generalized Malicious URL Detection Models
AAAI 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
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