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

Certifying Geometric Robustness of Neural Networks NIPS 2019

A Dual Approach to Verify and Train Deep Networks IJCAI 2019

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks AAAI 2019

Adversarial Training and Robustness for Multiple Perturbations NIPS 2019

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NIPS 2019

Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019

Robustness via Curvature Regularization, and Vice Versa CVPR 2019

Towards Robust ResNet: A Small Step but a Giant Leap IJCAI 2019

Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness IJCAI 2019

A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019

Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019

Can Adversarially Robust Learning LeverageComputational Hardness? ALT 2019

Sensitivity Analysis of Deep Neural Networks AAAI 2019

ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness CVPR 2019

Disentangling Adversarial Robustness and Generalization CVPR 2019

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NIPS 2018

Analyzing the Robustness of Nearest Neighbors to Adversarial Examples ICML 2018

Max-Mahalanobis Linear Discriminant Analysis Networks ICML 2018

Lightweight Probabilistic Deep Networks CVPR 2018

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018

Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NIPS 2018

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks ICML 2018

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training ICML 2018

Deep Defense: Training DNNs with Improved Adversarial Robustness NIPS 2018