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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

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance IJCAI 2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss IJCAI 2019
Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019
Rademacher Complexity for Adversarially Robust Generalization ICML 2019
Certified Adversarial Robustness for Deep Reinforcement Learning CORL 2019
Latent-Variable Generative Models for Data-Efficient Text Classification IJCNLP 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation IJCNLP 2019
Unlabeled Data Improves Adversarial Robustness NIPS 2019
Certified Adversarial Robustness with Additive Noise NIPS 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019
Adversarial Robustness through Local Linearization NIPS 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach NIPS 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NIPS 2019
Theoretical evidence for adversarial robustness through randomization NIPS 2019
Implicit Generation and Modeling with Energy Based Models NIPS 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes NIPS 2019
Controlling Neural Level Sets NIPS 2019
Explanations can be manipulated and geometry is to blame NIPS 2019
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks NIPS 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019
Certified Adversarial Robustness via Randomized Smoothing ICML 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NIPS 2019
Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations ICML 2019
Sorting Out Lipschitz Function Approximation ICML 2019