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

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition CVPR 2023

Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels ICML 2023

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023

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

Robust low-rank training via approximate orthonormal constraints NIPS 2023

Adversarially Robust PAC Learnability of Real-Valued Functions ICML 2023

Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings NIPS 2023

Improving Adversarial Robustness via Information Bottleneck Distillation NIPS 2023

Hierarchical Randomized Smoothing NIPS 2023

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

Spatial-frequency channels, shape bias, and adversarial robustness NIPS 2023

Degraded Polygons Raise Fundamental Questions of Neural Network Perception NIPS 2023

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker NIPS 2023

Learning Provably Robust Estimators for Inverse Problems via Jittering NIPS 2023

Training on Foveated Images Improves Robustness to Adversarial Attacks NIPS 2023

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

On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization NIPS 2023

Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023

Phase-shifted adversarial training UAI 2023

From Robustness to Privacy and Back ICML 2023

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective ICCV 2023

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

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion NIPS 2023

On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023