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← Learning Types
Machine Learning
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Learning Types
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Adversarial Learning
4,854 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
Gradient Based Activations for Accurate Bias-Free Learning
AAAI 2022
Multi-Level Attentive Adversarial Learning With Temporal Dilation for Unsupervised Video Domain Adaptation
WACV 2022
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning
INTERSPEECH 2022
Learning Human Driving Behaviors with Sequential Causal Imitation Learning
AAAI 2022
Physical Adversarial Attacks on an Aerial Imagery Object Detector
WACV 2022
Scalable Infomin Learning
NIPS 2022
Distributionally Robust $Q$-Learning
ICML 2022
Cross-Lingual Event Detection via Optimized Adversarial Training
NAACL 2022
Adversarial Text Normalization
NAACL 2022
Adversarial and Sequential Training for Cross-lingual Prosody Transfer TTS
INTERSPEECH 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
NIPS 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
CVPR 2022
Adversarial training for high-stakes reliability
NIPS 2022
Efficient Robust Training via Backward Smoothing
AAAI 2022
Modeling Adversarial Noise for Adversarial Training
ICML 2022
Hindering Adversarial Attacks with Implicit Neural Representations
ICML 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
ICML 2022
Enhancing the Transferability of Adversarial Examples with Random Patch
IJCAI 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
NIPS 2022
Adversarial Masking for Self-Supervised Learning
ICML 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NIPS 2022
Robust Trajectory Prediction against Adversarial Attacks
CORL 2022
Adversarial Text-to-Speech for low-resource languages
EMNLP 2022
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning
EMNLP 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
AAAI 2022
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