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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
Robot Manipulation Learning Using Generative Adversarial Imitation Learning
IJCAI 2021
Adversarial Examples in Physical World
IJCAI 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
ICCV 2021
Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization
ICCV 2021
SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators
ICCV 2021
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective
ICCV 2021
A Backdoor Attack Against 3D Point Cloud Classifiers
ICCV 2021
Relating Adversarially Robust Generalization to Flat Minima
ICCV 2021
Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation
ICCV 2021
Knowledge-Enriched Distributional Model Inversion Attacks
ICCV 2021
Unsupervised Image Generation With Infinite Generative Adversarial Networks
ICCV 2021
Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection
ICCV 2021
Information-Theoretic Regularization for Multi-Source Domain Adaptation
ICCV 2021
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models
ICCV 2021
Towards Rotation Invariance in Object Detection
ICCV 2021
Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
ICCV 2021
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
ICCV 2021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
ICCV 2021
Data-Free Universal Adversarial Perturbation and Black-Box Attack
ICCV 2021
Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition
ICCV 2021
Practical Relative Order Attack in Deep Ranking
ICCV 2021
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion
INTERSPEECH 2021
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
INTERSPEECH 2021
Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification
INTERSPEECH 2021
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning
INTERSPEECH 2021
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