Adversarial Learning
1,500 papers
Papers per year
1
1
1
1
1
1
1
1
7
39
88
142
178
203
186
210
295
144
'10
'15
'20
'25
Papers
Residue-Based Natural Language Adversarial Attack Detection
NAACL 2022
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
ICML 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
NeurIPS 2022
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation
CVPR 2022
Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees
ICML 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
ICML 2022
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
NeurIPS 2022
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint
AAAI 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
NAACL 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
ICML 2022
Robust Feature-Level Adversaries are Interpretability Tools
NeurIPS 2022
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
AAAI 2022
Robust Models Are More Interpretable Because Attributions Look Normal
ICML 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
ICML 2022
Robust Optimal Classification Trees against Adversarial Examples
AAAI 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients
CVPR 2022
RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining
ACL 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
EMNLP 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
EMNLP 2022
Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection
CVPR 2022
Semantic-Preserving Adversarial Code Comprehension
COLING 2022
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification
COLING 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon
CVPR 2022
Shape-Invariant 3D Adversarial Point Clouds
CVPR 2022
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds
AAAI 2022