adversarial robustness

1335 papers

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Also known as

UAP PAR ADV AR

Co-occurring keywords

adversarial training (1261) adversarial attack (1599) neural network (6616) adversarial example (563) adversarial learning (1592) model robustness (478) adversarial defense (324) large language model (12755) certified robustness (116) adversarial perturbation (376)

Papers

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NIPS 2024

Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023

How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy ICML 2023

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process ICML 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NIPS 2023

Towards Reliable Neural Specifications ICML 2023

Randomized Adversarial Training via Taylor Expansion CVPR 2023

NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023

Better Diffusion Models Further Improve Adversarial Training ICML 2023

Feature Separation and Recalibration for Adversarial Robustness CVPR 2023

Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces NIPS 2023

Towards better certified segmentation via diffusion models UAI 2023

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023

Adversarial Robustness via Random Projection Filters CVPR 2023

ImageNet Pre-training Also Transfers Non-robustness AAAI 2023

CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023

Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023

Computational Asymmetries in Robust Classification ICML 2023

CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023

Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023

Generalization Bounds for Adversarial Metric Learning IJCAI 2023

Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023

Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023