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Methodology
← Learning Types
Machine Learning
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Learning Types
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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
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
CVPR 2023
Stabilizing GANs’ Training with Brownian Motion Controller
ICML 2023
Federated Adversarial Learning: A Framework with Convergence Analysis
ICML 2023
Strategic Classification with Unknown User Manipulations
ICML 2023
Online Learning with Feedback Graphs: The True Shape of Regret
ICML 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
ICML 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
ICML 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
ICML 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations
ICML 2023
Sequential Strategic Screening
ICML 2023
Phase-aware Adversarial Defense for Improving Adversarial Robustness
ICML 2023
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
ICML 2023
Stratified Adversarial Robustness with Rejection
ICML 2023
TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
ICCV 2023
Adversarially Robust PAC Learnability of Real-Valued Functions
ICML 2023
Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients
ICCV 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks
ICCV 2023
Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis
ICCV 2023
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives
ICCV 2023
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition
IJCAI 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
AAAI 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples
AAAI 2023
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
NIPS 2023
Physical-World Optical Adversarial Attacks on 3D Face Recognition
CVPR 2023
Ensemble-Based Blackbox Attacks on Dense Prediction
CVPR 2023
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