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adversarial perturbation

384 papers

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Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) adversarial example (564) neural network (6616) adversarial training (1262) deep neural network (1803) adversarial learning (1595) image classification (1944) black-box attack (237) diffusion model (3751)

Papers

Robustness Verification of Tree-based Models NIPS 2019
On the Effectiveness of Low Frequency Perturbations IJCAI 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019
Hilbert-Based Generative Defense for Adversarial Examples ICCV 2019
Data Fine-Tuning AAAI 2019
Does Data Augmentation Lead to Positive Margin? ICML 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NIPS 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength NIPS 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019
Trust Region Based Adversarial Attack on Neural Networks CVPR 2019
Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019
Generating 3D Adversarial Point Clouds CVPR 2019
Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018
Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018
Differentiable Abstract Interpretation for Provably Robust Neural Networks ICML 2018
Scaling provable adversarial defenses NIPS 2018
Adversarial vulnerability for any classifier NIPS 2018
With Friends Like These, Who Needs Adversaries? NIPS 2018
NAG: Network for Adversary Generation CVPR 2018
Adversarially Robust Generalization Requires More Data NIPS 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks NIPS 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text IJCAI 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NIPS 2018
A Spectral View of Adversarially Robust Features NIPS 2018