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Methodology
← Learning Types
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
Generative Adversarial Symmetry Discovery
ICML 2023
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
ICML 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
ICML 2023
Taxonomy-Structured Domain Adaptation
ICML 2023
Attention-Enhancing Backdoor Attacks Against BERT-based Models
EMNLP 2023
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
EMNLP 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models
ICML 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
ICML 2023
Adversarial Parameter Attack on Deep Neural Networks
ICML 2023
Understanding Backdoor Attacks through the Adaptability Hypothesis
ICML 2023
Better Diffusion Models Further Improve Adversarial Training
ICML 2023
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
ICML 2023
Raising the Cost of Malicious AI-Powered Image Editing
ICML 2023
Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
ICML 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition
INTERSPEECH 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
EMNLP 2023
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
EMNLP 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
AISTATS 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
NIPS 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
NIPS 2023
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
ACL 2023
Panoptic-Aware Image-to-Image Translation
WACV 2023
Layerwise universal adversarial attack on NLP models
ACL 2023
Impact of Adversarial Training on Robustness and Generalizability of Language Models
ACL 2023
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