| Revisiting Adversarial Training under Long-Tailed Distributions | Mar 15, 2024 | Adversarial DefenseData Augmentation | CodeCode Available | 2 |
| Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models | Feb 19, 2024 | Adversarial DefenseMultimodal Deep Learning | CodeCode Available | 2 |
| Mist: Towards Improved Adversarial Examples for Diffusion Models | May 22, 2023 | Adversarial Defense | CodeCode Available | 2 |
| Benchmarking Neural Network Robustness to Common Corruptions and Perturbations | Mar 28, 2019 | Adversarial DefenseBenchmarking | CodeCode Available | 2 |
| GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models | May 16, 2025 | Adversarial AttackAdversarial Defense | CodeCode Available | 1 |
| CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense | Oct 30, 2024 | Adversarial DefenseDisentanglement | CodeCode Available | 1 |
| Real-world Adversarial Defense against Patch Attacks based on Diffusion Model | Sep 14, 2024 | Adversarial DefenseFace Recognition | CodeCode Available | 1 |
| Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion Models | Apr 16, 2024 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval | Dec 12, 2023 | Adversarial DefenseImage Retrieval | CodeCode Available | 1 |
| DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training | Oct 3, 2023 | Adversarial DefenseComputational Efficiency | CodeCode Available | 1 |
| DiffDefense: Defending against Adversarial Attacks via Diffusion Models | Sep 7, 2023 | Adversarial Defense | CodeCode Available | 1 |
| Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models | Jul 31, 2023 | Adversarial DefenseAdversarial Purification | CodeCode Available | 1 |
| AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models | Jul 24, 2023 | Adversarial AttackAdversarial Defense | CodeCode Available | 1 |
| Enhancing Adversarial Robustness via Score-Based Optimization | Jul 10, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks | Jun 15, 2023 | Adversarial DefenseFace Recognition | CodeCode Available | 1 |
| Robust Classification via a Single Diffusion Model | May 24, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Decoupled Kullback-Leibler Divergence Loss | May 23, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified _p Attacks | Mar 17, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Among Us: Adversarially Robust Collaborative Perception by Consensus | Mar 16, 2023 | 3D Object DetectionAdversarial Defense | CodeCode Available | 1 |
| TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization | Dec 19, 2022 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| DISCO: Adversarial Defense with Local Implicit Functions | Dec 11, 2022 | Adversarial Defenseimage-classification | CodeCode Available | 1 |
| Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks | Oct 21, 2022 | Adversarial DefenseTransfer Learning | CodeCode Available | 1 |
| Scaling Adversarial Training to Large Perturbation Bounds | Oct 18, 2022 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Visual Prompting for Adversarial Robustness | Oct 12, 2022 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Improving Adversarial Robustness via Mutual Information Estimation | Jul 25, 2022 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
