| Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense | Feb 2, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| Adversarial Robustness Guarantees for Classification with Gaussian Processes | May 28, 2019 | Adversarial RobustnessClassification | CodeCode Available | 0 | 5 |
| A Deep Dive into Adversarial Robustness in Zero-Shot Learning | Aug 17, 2020 | Adversarial RobustnessBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Robustness Tokens: Towards Adversarial Robustness of Transformers | Mar 13, 2025 | 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 |
| IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness | Feb 9, 2023 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization | Dec 8, 2024 | Adversarial RobustnessMemorization | CodeCode Available | 0 | 5 |
| Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria | Oct 5, 2023 | Adversarial AttackAdversarial Defense | CodeCode Available | 0 | 5 |
| Adversarial Robustness Certification for Bayesian Neural Networks | Jun 23, 2023 | Adversarial RobustnessCollision Avoidance | CodeCode Available | 0 | 5 |
| Hyper-parameter Tuning for Adversarially Robust Models | Apr 5, 2023 | Adversarial RobustnessGPU | 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 |
| Gated Information Bottleneck for Generalization in Sequential Environments | Oct 12, 2021 | Adversarial RobustnessOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks | Feb 6, 2023 | Adversarial RobustnessData Augmentation | CodeCode Available | 0 | 5 |
| GenAttack: Practical Black-box Attacks with Gradient-Free Optimization | May 28, 2018 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 | 5 |
| Adversarial Robustness by Design through Analog Computing and Synthetic Gradients | Jan 6, 2021 | Adversarial RobustnessBinarization | CodeCode Available | 0 | 5 |
| IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound | Jun 29, 2022 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Impact of Architectural Modifications on Deep Learning Adversarial Robustness | May 3, 2024 | Adversarial RobustnessDeep Learning | CodeCode Available | 0 | 5 |
| Improved techniques for deterministic l2 robustness | Nov 15, 2022 | Adversarial Robustness | 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 |
| Towards Adversarial Robustness And Backdoor Mitigation in SSL | Mar 23, 2024 | Adversarial RobustnessBackdoor Attack | CodeCode Available | 0 | 5 |
| Defending Adversarial Examples by Negative Correlation Ensemble | Jun 11, 2022 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises | Jun 15, 2022 | Adversarial RobustnessFoveation | 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 |
| Language-Driven Anchors for Zero-Shot Adversarial Robustness | Jan 30, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| Deep Defense: Training DNNs with Improved Adversarial Robustness | Feb 23, 2018 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations | Dec 13, 2021 | Adversarial Robustnesscounterfactual | CodeCode Available | 0 | 5 |
| Generating Adversarial Examples with Adversarial Networks | Jan 8, 2018 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Hierarchical Distribution-Aware Testing of Deep Learning | May 17, 2022 | Adversarial RobustnessData Compression | CodeCode Available | 0 | 5 |
| DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation | May 22, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 | 5 |
| Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More | Jan 1, 2021 | Adversarial RobustnessClassification | CodeCode Available | 0 | 5 |
| Boosting Adversarial Training via Fisher-Rao Norm-based Regularization | Mar 26, 2024 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| Deep anytime-valid hypothesis testing | Oct 30, 2023 | Adversarial RobustnessTwo-sample testing | CodeCode Available | 0 | 5 |
| Learning Energy-Based Models With Adversarial Training | Dec 11, 2020 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective | Aug 20, 2022 | Adversarial Robustnessimage-classification | CodeCode Available | 0 | 5 |
| SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation | Dec 12, 2022 | Adversarial RobustnessDomain Adaptation | CodeCode Available | 0 | 5 |
| Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation | May 5, 2025 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 | 5 |
| NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels | May 31, 2021 | Adversarial Robustness | CodeCode Available | 0 | 5 |
| DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models | Jun 20, 2023 | Adversarial RobustnessEthics | —Unverified | 0 | 0 |
| Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors | Jun 21, 2024 | Adversarial DefenseAdversarial Robustness | —Unverified | 0 | 0 |
| Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective | Jun 18, 2021 | Adversarial Robustness | —Unverified | 0 | 0 |
| Deadwooding: Robust Global Pruning for Deep Neural Networks | Feb 10, 2022 | Adversarial Robustness | —Unverified | 0 | 0 |
| Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks | May 13, 2019 | Adversarial RobustnessIntrusion Detection | —Unverified | 0 | 0 |
| Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data | Jan 15, 2021 | Adversarial RobustnessContinual Learning | —Unverified | 0 | 0 |
| DataFreeShield: Defending Adversarial Attacks without Training Data | Jun 21, 2024 | Adversarial RobustnessDataset Generation | —Unverified | 0 | 0 |
| An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection | Feb 25, 2024 | Adversarial RobustnessCyber Attack Detection | —Unverified | 0 | 0 |
| Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness | Jun 28, 2024 | Adversarial Robustness | —Unverified | 0 | 0 |
| DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation | Feb 16, 2024 | Adversarial RobustnessDomain Adaptation | —Unverified | 0 | 0 |
| A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness | Mar 1, 2021 | Adversarial RobustnessObject Recognition | —Unverified | 0 | 0 |
| Adversarial Robustness Across Representation Spaces | Dec 1, 2020 | Adversarial Robustnessimage-classification | —Unverified | 0 | 0 |
