| Disentangling Adversarial Robustness in Directions of the Data Manifold | Jan 1, 2021 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Improved robustness to adversarial examples using Lipschitz regularization of the loss | Oct 1, 2018 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Disentangling Adversarial Robustness and Generalization | Dec 3, 2018 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| A PAC-Bayes Analysis of Adversarial Robustness | Feb 19, 2021 | Adversarial RobustnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes | Mar 4, 2023 | Adversarial RobustnessDiversity | CodeCode Available | 0 | 5 |
| Improved techniques for deterministic l2 robustness | Nov 15, 2022 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness | Jul 5, 2018 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms | Dec 1, 2020 | Adversarial RobustnessQuantization | CodeCode Available | 0 | 5 |
| Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective | Oct 7, 2020 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Fast Adversarial Training with Smooth Convergence | Aug 24, 2023 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing | Mar 24, 2023 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 | 5 |
| The interplay of robustness and generalization in quantum machine learning | Jun 10, 2025 | Adversarial RobustnessQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack | Jun 15, 2022 | Adversarial RobustnessComputational Efficiency | CodeCode Available | 0 | 5 |
| Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection | Mar 27, 2023 | Adversarial RobustnessOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Impact of Architectural Modifications on Deep Learning Adversarial Robustness | May 3, 2024 | Adversarial RobustnessDeep Learning | CodeCode Available | 0 | 5 |
| Improved Diffusion-based Generative Model with Better Adversarial Robustness | Feb 24, 2025 | Adversarial RobustnessDenoising | CodeCode Available | 0 | 5 |
| Diffusion-based Adversarial Purification for Intrusion Detection | Jun 25, 2024 | Adversarial PurificationAdversarial Robustness | CodeCode Available | 0 | 5 |
| IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound | Jun 29, 2022 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness | Feb 9, 2023 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Feature Denoising for Improving Adversarial Robustness | Dec 9, 2018 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination | Oct 31, 2024 | Adversarial RobustnessBinarization | CodeCode Available | 0 | 5 |
| Different Spectral Representations in Optimized Artificial Neural Networks and Brains | Aug 22, 2022 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 | 5 |
| Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge | Apr 10, 2025 | Adversarial RobustnessBenchmarking | CodeCode Available | 0 | 5 |
| Hyper-parameter Tuning for Adversarially Robust Models | Apr 5, 2023 | Adversarial RobustnessGPU | CodeCode Available | 0 | 5 |
| Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation | Dec 9, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 | 5 |
| Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness | Sep 21, 2020 | Adversarial RobustnessDiversity | CodeCode Available | 0 | 5 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow | Oct 26, 2023 | Adversarial RobustnessMotion Detection | CodeCode Available | 0 | 5 |
| Annealing Self-Distillation Rectification Improves Adversarial Training | May 20, 2023 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features | Apr 16, 2025 | Adversarial RobustnessComputational Efficiency | CodeCode Available | 0 | 5 |
| Dense Hopfield Networks in the Teacher-Student Setting | Jan 8, 2024 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories | Jan 1, 2023 | Adversarial RobustnessClassification | CodeCode Available | 0 | 5 |
| Demystifying the Adversarial Robustness of Random Transformation Defenses | Jun 18, 2022 | Adversarial RobustnessAutonomous Vehicles | CodeCode Available | 0 | 5 |
| DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization | Dec 8, 2024 | Adversarial RobustnessMemorization | CodeCode Available | 0 | 5 |
| Adversarial Robustness Certification for Bayesian Neural Networks | Jun 23, 2023 | Adversarial RobustnessCollision Avoidance | CodeCode Available | 0 | 5 |
| Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning | Jun 15, 2022 | Adversarial RobustnessQuantization | CodeCode Available | 0 | 5 |
| On Adversarial Robustness: A Neural Architecture Search perspective | Jul 16, 2020 | Adversarial RobustnessNeural Architecture Search | CodeCode Available | 0 | 5 |
| Testing Robustness Against Unforeseen Adversaries | Aug 21, 2019 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| Adversarial Robustness by Design through Analog Computing and Synthetic Gradients | Jan 6, 2021 | Adversarial RobustnessBinarization | CodeCode Available | 0 | 5 |
| GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models | Apr 19, 2023 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Efficiently Training Low-Curvature Neural Networks | Jun 14, 2022 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness | May 25, 2019 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Hierarchical Distribution-Aware Testing of Deep Learning | May 17, 2022 | Adversarial RobustnessData Compression | CodeCode Available | 0 | 5 |
| An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning | Jan 7, 2025 | Adversarial RobustnessContrastive Learning | CodeCode Available | 0 | 5 |
| Give me a hint: Can LLMs take a hint to solve math problems? | Oct 8, 2024 | Adversarial RobustnessMath | CodeCode Available | 0 | 5 |
| Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More | Jan 1, 2021 | Adversarial RobustnessClassification | CodeCode Available | 0 | 5 |
| Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness | Mar 30, 2023 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach | Oct 30, 2021 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers | Aug 1, 2023 | Adversarial Robustnessimage-classification | CodeCode Available | 0 | 5 |
| Global-Local Regularization Via Distributional Robustness | Mar 1, 2022 | Adversarial RobustnessDomain Adaptation | CodeCode Available | 0 | 5 |
