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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
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
CVPR 2019
Rob-GAN: Generator, Discriminator, and Adversarial Attacker
CVPR 2019
Adversarial Defense by Stratified Convolutional Sparse Coding
CVPR 2019
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples
CVPR 2019
Self-Supervised GANs via Auxiliary Rotation Loss
CVPR 2019
Abstractive Text Summarization by Incorporating Reader Comments
AAAI 2019
Adversarial Optimization for Dictionary Attacks on Speaker Verification
INTERSPEECH 2019
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning
INTERSPEECH 2019
Adversarial Training and Robustness for Multiple Perturbations
NIPS 2019
Comparing Unsupervised Word Translation Methods Step by Step
NIPS 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
CVPR 2019
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
CVPR 2019
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning
INTERSPEECH 2019
Adversarial Category Alignment Network for Cross-domain Sentiment Classification
NAACL 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
CVPR 2019
Label-Noise Robust Generative Adversarial Networks
CVPR 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
CVPR 2019
Adversarial Attacks Beyond the Image Space
CVPR 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
CVPR 2019
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View
CVPR 2019
Mixture Density Generative Adversarial Networks
CVPR 2019
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
CVPR 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks
CVPR 2019
Disentangling Adversarial Robustness and Generalization
CVPR 2019
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