conftrace_

neural network robustness

92 papers

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Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) adversarial example (564) neural network (6616) deep neural network (1803) adversarial training (1262) adversarial perturbation (384) image classification (1944) convolutional neural network (4226) robustness certification (47)

Papers

Probabilistic Robustness Quantification of Neural Networks AAAI 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective AAAI 2021
Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NIPS 2021
Generating adversarial examples with graph neural networks UAI 2021
Efficient Statistical Assessment of Neural Network Corruption Robustness NIPS 2021
Modeling Biological Immunity to Adversarial Examples CVPR 2020
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020
Adversarial Examples for Edge Detection: They Exist, and they Transfer WACV 2020
Robust Adversarial Objects against Deep Learning Models AAAI 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks NIPS 2020
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations WACV 2020
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem CVPR 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019
Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019
Adversarial Attacks Beyond the Image Space CVPR 2019
Robustness of 3D Deep Learning in an Adversarial Setting CVPR 2019
Certifying Geometric Robustness of Neural Networks NIPS 2019
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach ICML 2019
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once ICCV 2019
Attacking Optical Flow ICCV 2019