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

Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors L4DC 2023
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization ICCV 2023
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions NIPS 2023
Combating Adversaries with Anti-adversaries AAAI 2022
CerDEQ: Certifiable Deep Equilibrium Model ICML 2022
A Quantitative Geometric Approach to Neural-Network Smoothness NIPS 2022
Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection CVPR 2022
CAT: Customized Adversarial Training for Improved Robustness IJCAI 2022
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds AAAI 2022
Adversarial Reprogramming Revisited NIPS 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) NIPS 2022
Sound and Complete Verification of Polynomial Networks NIPS 2022
Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022
Double Sampling Randomized Smoothing ICML 2022
Morié Attack (MA): A New Potential Risk of Screen Photos NIPS 2021
Adversarial Examples in Physical World IJCAI 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 2021
Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021