| Improving Model Robustness with Latent Distribution Locally and Globally | Jul 8, 2021 | Adversarial Robustness | CodeCode Available | 0 |
| Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection | Dec 13, 2022 | Adversarial Attack DetectionAdversarial Defense | CodeCode Available | 0 |
| AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks | May 30, 2018 | Adversarial Robustness | CodeCode Available | 0 |
| Stratified Adversarial Robustness with Rejection | May 2, 2023 | Adversarial RobustnessRobust classification | CodeCode Available | 0 |
| RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features | Apr 16, 2025 | Adversarial RobustnessComputational Efficiency | CodeCode Available | 0 |
| Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling | Feb 24, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| VideoPure: Diffusion-based Adversarial Purification for Video Recognition | Jan 25, 2025 | Adversarial DefenseAdversarial Purification | CodeCode Available | 0 |
| Disentangling Adversarial Robustness and Generalization | Dec 3, 2018 | Adversarial Robustness | CodeCode Available | 0 |
| Towards Robust LLMs: an Adversarial Robustness Measurement Framework | Apr 24, 2025 | Adversarial RobustnessComputational Efficiency | CodeCode Available | 0 |
| Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection | Mar 27, 2023 | Adversarial RobustnessOut-of-Distribution Detection | CodeCode Available | 0 |
| Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients | Nov 26, 2017 | Adversarial Robustness | CodeCode Available | 0 |
| Diffusion-based Adversarial Purification for Intrusion Detection | Jun 25, 2024 | Adversarial PurificationAdversarial Robustness | CodeCode Available | 0 |
| Improving the Adversarial Robustness of NLP Models by Information Bottleneck | Jun 11, 2022 | Adversarial RobustnessSST-2 | CodeCode Available | 0 |
| Adversarial Attacks on Data Attribution | Sep 9, 2024 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library | Apr 27, 2024 | Adversarial RobustnessNon-Adversarial Robustness | CodeCode Available | 0 |
| Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack | Jan 1, 2025 | 3D ReconstructionAdversarial Attack | CodeCode Available | 0 |
| Understanding Intrinsic Robustness Using Label Uncertainty | Jul 7, 2021 | Adversarial RobustnessClassification | CodeCode Available | 0 |
| Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks | Dec 4, 2022 | Adversarial RobustnessInductive Bias | CodeCode Available | 0 |
| Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks | May 19, 2020 | Adversarial RobustnessGeneral Classification | CodeCode Available | 0 |
| DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination | Oct 31, 2024 | Adversarial RobustnessBinarization | CodeCode Available | 0 |
| Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis | Oct 2, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Individual Fairness in Bayesian Neural Networks | Apr 21, 2023 | Adversarial RobustnessBayesian Inference | CodeCode Available | 0 |
| Adversarially Robust One-class Novelty Detection | Aug 25, 2021 | Adversarial RobustnessNovelty Detection | CodeCode Available | 0 |
| Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training | Sep 27, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Different Spectral Representations in Optimized Artificial Neural Networks and Brains | Aug 22, 2022 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| Initialization Matters for Adversarial Transfer Learning | Dec 10, 2023 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
| Automated Repair of Neural Networks | Jul 17, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy | Jun 16, 2019 | Adversarial Robustness | CodeCode Available | 0 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 |
| Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion | Feb 14, 2024 | Adversarial RobustnessDomain Generalization | CodeCode Available | 0 |
| What Do Adversarially Robust Models Look At? | May 19, 2019 | Adversarial RobustnessOpen-Ended Question Answering | CodeCode Available | 0 |
| Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing | Sep 8, 2023 | Adversarial Robustnessregression | CodeCode Available | 0 |
| On Adversarial Robustness of Point Cloud Semantic Segmentation | Dec 11, 2021 | Adversarial RobustnessAutonomous Driving | CodeCode Available | 0 |
| Adversarial Robustness of VAEs across Intersectional Subgroups | Jul 4, 2024 | Adversarial RobustnessDimensionality Reduction | CodeCode Available | 0 |
| Adversarial Robustness of Supervised Sparse Coding | Oct 22, 2020 | Adversarial Robustness | CodeCode Available | 0 |
| Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients | Sep 28, 2020 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples | Jun 7, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE) | Jan 24, 2024 | Adversarial Robustness | CodeCode Available | 0 |
| Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks | Feb 26, 2020 | Adversarial RobustnessAll | CodeCode Available | 0 |
| Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding | Jun 19, 2023 | Adversarial RobustnessFew-Shot Learning | CodeCode Available | 0 |
| Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions | May 9, 2023 | Adversarial RobustnessData Augmentation | CodeCode Available | 0 |
| A Study on Adversarial Robustness of Discriminative Prototypical Learning | Apr 3, 2025 | Adversarial Robustness | CodeCode Available | 0 |
| Towards the first adversarially robust neural network model on MNIST | May 23, 2018 | Adversarial RobustnessBinarization | CodeCode Available | 0 |
| Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow | Oct 26, 2023 | Adversarial RobustnessMotion Detection | CodeCode Available | 0 |
| Dense Hopfield Networks in the Teacher-Student Setting | Jan 8, 2024 | Adversarial Robustness | CodeCode Available | 0 |
| Is Adversarial Training with Compressed Datasets Effective? | Feb 8, 2024 | Adversarial RobustnessDataset Condensation | CodeCode Available | 0 |
| Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers | Jun 12, 2019 | Adversarial Robustness | CodeCode Available | 0 |
| Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles | Nov 23, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Demystifying the Adversarial Robustness of Random Transformation Defenses | Jun 18, 2022 | Adversarial RobustnessAutonomous Vehicles | CodeCode Available | 0 |
| Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences | Jun 14, 2024 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
