lwmming / AGSLinks
Code for the AAAI 2024 paper: "AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack" (accepted).
β12Updated last year
Alternatives and similar repositories for AGS
Users that are interested in AGS are comparing it to the libraries listed below
Sorting:
- [CVPR-25π₯] Test-time Counterattacks (TTC) towards adversarial robustness of CLIPβ30Updated 4 months ago
- ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptationβ11Updated last year
- (NeurIPS 2024)Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Modelsβ13Updated 2 months ago
- CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuningβ16Updated last month
- [TTA-VLM] A Benchmark of Test-Time Adaptation for Vision-Language Modelsβ18Updated 4 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhaβ¦β53Updated 2 years ago
- β94Updated 3 years ago
- β18Updated 2 years ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).β33Updated 2 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"β46Updated 3 years ago
- [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognitionβ32Updated 2 years ago
- NN 2023β22Updated 2 years ago
- Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"β18Updated last year
- β43Updated 2 years ago
- ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"β18Updated last year
- β37Updated last year
- [CVPR 2023] Adversarial Robustness via Random Projection Filtersβ14Updated 2 years ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)β72Updated 2 years ago
- [NeurIPS 2021] βWhen does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?ββ48Updated 3 years ago
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)β20Updated 2 years ago
- β19Updated 11 months ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).β38Updated 11 months ago
- Code for BYOP (CVPR 2023)β11Updated 2 years ago
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687β96Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environmentsβ27Updated 2 years ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Modelsβ53Updated 9 months ago
- β67Updated 2 years ago
- Feature Separation and Recalibration (CVPR 2023 Highlights)β34Updated last year
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neurβ¦β34Updated last year
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"β44Updated 4 years ago