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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
ARAML: A Stable Adversarial Training Framework for Text Generation
IJCNLP 2019
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces
ICCV 2019
Human Uncertainty Makes Classification More Robust
ICCV 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
ICCV 2019
A Decoupled 3D Facial Shape Model by Adversarial Training
ICCV 2019
Live Face De-Identification in Video
ICCV 2019
Deep Learning for Light Field Saliency Detection
ICCV 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
IJCNLP 2019
Pun-GAN: Generative Adversarial Network for Pun Generation
IJCNLP 2019
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
IJCNLP 2019
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
ICCV 2019
On the Global Optima of Kernelized Adversarial Representation Learning
ICCV 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
ICCV 2019
Improving Adversarial Robustness via Guided Complement Entropy
ICCV 2019
Hilbert-Based Generative Defense for Adversarial Examples
ICCV 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
ICCV 2019
Enhancing Adversarial Example Transferability With an Intermediate Level Attack
ICCV 2019
Sparse and Imperceivable Adversarial Attacks
ICCV 2019
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
ICCV 2019
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
NIPS 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
ICCV 2019
Adversarial Defense via Learning to Generate Diverse Attacks
ICCV 2019
Fooling Network Interpretation in Image Classification
ICCV 2019
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
ICCV 2019
Generative Adversarial Minority Oversampling
ICCV 2019
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