neural network robustness

Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023 Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023 Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization ICCV 2023 Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023 ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023 Phase-shifted adversarial training UAI 2023 SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions NeurIPS 2023 Targeted Adversarial Attacks against Neural Network Trajectory Predictors L4DC 2023 Adversarial Reprogramming Revisited NeurIPS 2022 A Quantitative Geometric Approach to Neural-Network Smoothness NeurIPS 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 CerDEQ: Certifiable Deep Equilibrium Model ICML 2022 Combating Adversaries with Anti-adversaries AAAI 2022 Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022 Double Sampling Randomized Smoothing ICML 2022 Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) NeurIPS 2022 Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds AAAI 2022 Sound and Complete Verification of Polynomial Networks NeurIPS 2022 Adversarial Examples in Physical World IJCAI 2021 Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021 A Law of Robustness for Two-Layers Neural Networks COLT 2021 Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021 Efficient Statistical Assessment of Neural Network Corruption Robustness NeurIPS 2021