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Artificial Intelligence
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Adversarial Learning
1235 directly classified papers
Papers per year
2009: 1
2010: 1
2011: 1
2013: 1
2014: 1
2016: 1
2017: 7
2018: 35
2019: 86
2020: 130
2021: 166
2022: 188
2023: 166
2024: 185
2025: 264
2026: 2
Papers
Certified Patch Robustness via Smoothed Vision Transformers
CVPR 2022
Towards Efficient Data Free Black-Box Adversarial Attack
CVPR 2022
DTA: Physical Camouflage Attacks Using Differentiable Transformation Network
CVPR 2022
Shape-Invariant 3D Adversarial Point Clouds
CVPR 2022
DST: Dynamic Substitute Training for Data-Free Black-Box Attack
CVPR 2022
BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
CVPR 2022
Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection
CVPR 2022
Adversarial Eigen Attack on Black-Box Models
CVPR 2022
Towards Understanding Adversarial Robustness of Optical Flow Networks
CVPR 2022
Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity
CVPR 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
CVPR 2022
Exploring Effective Data for Surrogate Training Towards Black-Box Attack
CVPR 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon
CVPR 2022
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation
CVPR 2022
Complex Backdoor Detection by Symmetric Feature Differencing
CVPR 2022
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
CVPR 2022
Leveraging Adversarial Examples To Quantify Membership Information Leakage
CVPR 2022
Stereoscopic Universal Perturbations Across Different Architectures and Datasets
CVPR 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
ICML 2022
Diffusion Models for Adversarial Purification
ICML 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
ICML 2022
CerDEQ: Certifiable Deep Equilibrium Model
ICML 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
Certified Adversarial Robustness Under the Bounded Support Set
ICML 2022
Generating Distributional Adversarial Examples to Evade Statistical Detectors
ICML 2022
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