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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023
CUDA: Convolution-Based Unlearnable Datasets CVPR 2023
CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023
Adversarial Textual Robustness on Visual Dialog ACL 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023
Jedi: Entropy-Based Localization and Removal of Adversarial Patches CVPR 2023
Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023
Physically Adversarial Infrared Patches With Learnable Shapes and Locations CVPR 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023
FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification SEMEVAL 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023
Anonymization for Skeleton Action Recognition AAAI 2023
Redactor: A Data-Centric and Individualized Defense against Inference Attacks AAAI 2023
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis AAAI 2023
Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack AAAI 2023
GAN-Based Domain Inference Attack AAAI 2023
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023
Practical Disruption of Image Translation Deepfake Networks AAAI 2023
Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023
PGSS: Pitch-Guided Speech Separation AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023
Improving Robust Fariness via Balance Adversarial Training AAAI 2023