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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
Adversarial Classification: Necessary Conditions and Geometric Flows
JMLR 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
JMLR 2022
Self-Healing Robust Neural Networks via Closed-Loop Control
JMLR 2022
Certified Robustness via Locally Biased Randomized Smoothing
L4DC 2022
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
L4DC 2022
Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation
MIDL 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction
NAACL 2022
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate
NAACL 2022
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
NAACL 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
NAACL 2022
Don’t sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks
NAACL 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
NAACL 2022
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
NAACL 2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
NAACL 2022
Can Rationalization Improve Robustness?
NAACL 2022
Residue-Based Natural Language Adversarial Attack Detection
NAACL 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
NAACL 2022
Cross-Lingual Event Detection via Optimized Adversarial Training
NAACL 2022
Consistency Training with Virtual Adversarial Discrete Perturbation
NAACL 2022
Adversarial Text Normalization
NAACL 2022
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks
NAACL 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
NAACL 2022
SHARP: Search-Based Adversarial Attack for Structured Prediction
NAACL 2022
Phrase-level Textual Adversarial Attack with Label Preservation
NAACL 2022
Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net
NAACL 2022
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