| LOT: Layer-wise Orthogonal Training on Improving _2 Certified Robustness | Oct 20, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization | Nov 12, 2024 | Adversarial RobustnessDeepFake Detection | CodeCode Available | 0 |
| Lower Bounds on Adversarial Robustness from Optimal Transport | Sep 26, 2019 | Adversarial RobustnessClassification | CodeCode Available | 0 |
| TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers | Jul 4, 2024 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective | Apr 30, 2024 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate | Dec 20, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs | Jun 16, 2020 | Adversarial Robustness | CodeCode Available | 0 |
| A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models | Feb 18, 2024 | Adversarial RobustnessAdversarial Text | CodeCode Available | 0 |
| Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters | Jun 6, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training | Dec 7, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Robust and Accurate Object Detection via Self-Knowledge Distillation | Nov 14, 2021 | Adversarial RobustnessKnowledge Distillation | CodeCode Available | 0 |
| DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation | Mar 20, 2024 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| Increasing the adversarial robustness and explainability of capsule networks with γ-capsules | Dec 23, 2018 | Adversarial RobustnessInductive Bias | CodeCode Available | 0 |
| MMA Training: Direct Input Space Margin Maximization through Adversarial Training | Dec 6, 2018 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| The King is Naked: on the Notion of Robustness for Natural Language Processing | Dec 13, 2021 | Adversarial Robustness | CodeCode Available | 0 |
| Are Generative Classifiers More Robust to Adversarial Attacks? | Feb 19, 2018 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Architectural Resilience to Foreground-and-Background Adversarial Noise | Mar 23, 2020 | Adversarial Robustness | CodeCode Available | 0 |
| ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation | May 28, 2019 | Adversarial Robustness | CodeCode Available | 0 |
| DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain | Oct 16, 2024 | Adversarial Robustness | CodeCode Available | 0 |
| Adversarially Robust Learning with Optimal Transport Regularized Divergences | Sep 7, 2023 | Adversarial RobustnessDeep Learning | CodeCode Available | 0 |
| Metric Learning for Adversarial Robustness | Sep 3, 2019 | Adversarial RobustnessMetric Learning | CodeCode Available | 0 |
| Metrics and methods for robustness evaluation of neural networks with generative models | Mar 4, 2020 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
| Data Quality Matters For Adversarial Training: An Empirical Study | Feb 15, 2021 | Adversarial Robustness | CodeCode Available | 0 |
| MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness | Dec 8, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability | Sep 9, 2018 | Adversarial Robustness | CodeCode Available | 0 |
| APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection | Dec 17, 2019 | Adversarial RobustnessDensity Estimation | CodeCode Available | 0 |
| Training robust and generalizable quantum models | Nov 20, 2023 | Adversarial RobustnessQuantum Machine Learning | CodeCode Available | 0 |
| Data-free Defense of Black Box Models Against Adversarial Attacks | Nov 3, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Theoretical evidence for adversarial robustness through randomization | Feb 4, 2019 | Adversarial Robustness | CodeCode Available | 0 |
| AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement | Jan 26, 2024 | Adversarial RobustnessDisentanglement | CodeCode Available | 0 |
| Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images | May 3, 2025 | Adversarial RobustnessData Poisoning | CodeCode Available | 0 |
| Data-Driven Subsampling in the Presence of an Adversarial Actor | Jan 7, 2024 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers | Feb 3, 2024 | Adversarial RobustnessRobust classification | CodeCode Available | 0 |
| Adversarial robustness of VAEs through the lens of local geometry | Aug 8, 2022 | Adversarial RobustnessDecoder | CodeCode Available | 0 |
| The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks | May 14, 2024 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks | Sep 25, 2019 | Adversarial Robustness | CodeCode Available | 0 |
| Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation | Feb 21, 2025 | Adversarial RobustnessData Augmentation | CodeCode Available | 0 |
| A practical approach to evaluating the adversarial distance for machine learning classifiers | Sep 5, 2024 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| A Closer Look at the Adversarial Robustness of Deep Equilibrium Models | Jun 2, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| DAD++: Improved Data-free Test Time Adversarial Defense | Sep 10, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Adversarial Robustness Assessment: Why both L_0 and L_ Attacks Are Necessary | Jun 14, 2019 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
| Wavelet Regularization Benefits Adversarial Training | Jun 8, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy | Mar 15, 2021 | Adversarial Robustness | CodeCode Available | 0 |
| On Linear Stability of SGD and Input-Smoothness of Neural Networks | May 27, 2021 | Adversarial Robustness | CodeCode Available | 0 |
| Model-tuning Via Prompts Makes NLP Models Adversarially Robust | Mar 13, 2023 | Adversarial RobustnessLanguage Modelling | CodeCode Available | 0 |
| Robust Entropy Search for Safe Efficient Bayesian Optimization | May 29, 2024 | Adversarial RobustnessBayesian Optimization | CodeCode Available | 0 |
| Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency | Mar 14, 2024 | Adversarial RobustnessModel Compression | CodeCode Available | 0 |
| Robust Face Verification via Disentangled Representations | Jun 5, 2020 | Adversarial RobustnessFace Verification | CodeCode Available | 0 |
| Robust Graph Neural Networks via Unbiased Aggregation | Nov 25, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Confidence Elicitation: A New Attack Vector for Large Language Models | Feb 7, 2025 | Adversarial Robustness | CodeCode Available | 0 |
