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← Learning Types
Machine Learning
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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
Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification
INTERSPEECH 2022
DDDM: A Brain-Inspired Framework for Robust Classification
IJCAI 2022
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model
EMNLP 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
ACL 2022
Robust Optimization As Data Augmentation for Large-Scale Graphs
CVPR 2022
Canary Extraction in Natural Language Understanding Models
ACL 2022
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models
ACL 2022
Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks
IJCNLP 2022
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation
EMNLP 2022
DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders
INTERSPEECH 2022
Probabilistically Robust Learning: Balancing Average and Worst-case Performance
ICML 2022
Adversarial Robustness Guarantees for Gaussian Processes
JMLR 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
NIPS 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
ICML 2022
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
EMNLP 2022
Consistency Training with Virtual Adversarial Discrete Perturbation
NAACL 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors
ICML 2022
On the Generalization Analysis of Adversarial Learning
ICML 2022
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks
AAAI 2022
Efficient and Robust Knowledge Graph Construction
AACL 2022
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
AAAI 2022
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning
IJCAI 2022
Understanding Robust Overfitting of Adversarial Training and Beyond
ICML 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
ZhichunRoad at SemEval-2022 Task 2: Adversarial Training and Contrastive Learning for Multiword Representations
SEMEVAL 2022
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