[ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
☆157Feb 19, 2026Updated last month
Alternatives and similar repositories for RobustVLM
Users that are interested in RobustVLM are comparing it to the libraries listed below
Sorting:
- ☆45Jun 11, 2023Updated 2 years ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆58Dec 20, 2024Updated last year
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Dec 3, 2024Updated last year
- [NeurIPS-2023] Annual Conference on Neural Information Processing Systems☆228Dec 22, 2024Updated last year
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆72Sep 6, 2023Updated 2 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 2 years ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆25May 29, 2024Updated last year
- 😎 up-to-date & curated list of awesome Attacks on Large-Vision-Language-Models papers, methods & resources.☆517Mar 10, 2026Updated last week
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆40Jun 4, 2025Updated 9 months ago
- This is the repositoary for our paper published at ICML24.☆11Jun 11, 2025Updated 9 months ago
- [ICCVW 2025 (Oral)] Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models☆29Oct 20, 2025Updated 5 months ago
- (TPAMI 2026) Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness & & (NeurIPS 2024) Text-Guided Attention is All Y…☆16Mar 6, 2026Updated 2 weeks ago
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆17Sep 8, 2025Updated 6 months ago
- ☆109Feb 16, 2024Updated 2 years ago
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆23Jul 25, 2024Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆145Jul 31, 2023Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆44Sep 11, 2023Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models☆269May 13, 2024Updated last year
- [ECCV2024] Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajector…☆30Nov 15, 2025Updated 4 months ago
- Universal Adversarial Perturbations for Vision-Language Pre-trained Models☆24Aug 8, 2025Updated 7 months ago
- ☆13Jun 23, 2022Updated 3 years ago
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆31Mar 7, 2026Updated 2 weeks ago
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆66Mar 20, 2023Updated 3 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Apr 21, 2024Updated last year
- ☆15Jul 24, 2022Updated 3 years ago
- Code for NeurIPS 2024 Paper "Fight Back Against Jailbreaking via Prompt Adversarial Tuning"☆22May 6, 2025Updated 10 months ago
- ☆55Dec 7, 2024Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- ☆49Jun 19, 2024Updated last year
- SEAT