ml-research / LlavaGuardLinks
☆51Updated 3 months ago
Alternatives and similar repositories for LlavaGuard
Users that are interested in LlavaGuard are comparing it to the libraries listed below
Sorting:
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆81Updated last year
- The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"☆37Updated last year
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆74Updated 6 months ago
- ☆27Updated last year
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆75Updated 5 months ago
- ☆26Updated 3 months ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆135Updated last month
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆28Updated 8 months ago
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆32Updated 9 months ago
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆50Updated 6 months ago
- ☆45Updated last month
- ☆55Updated last year
- A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)☆154Updated 3 weeks ago
- [ECCV 2024] The official code for "AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shi…☆61Updated last year
- Official PyTorch implementation of "CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning" @ ICCV 2023☆36Updated last year
- ☆16Updated last month
- [ICLR 2025] Official codebase for the ICLR 2025 paper "Multimodal Situational Safety"☆20Updated 3 weeks ago
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆75Updated last month
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆55Updated last year
- ☆57Updated 8 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆86Updated last year
- Röttger et al. (2025): "MSTS: A Multimodal Safety Test Suite for Vision-Language Models"☆14Updated 3 months ago
- [ICLR 2025] Dissecting adversarial robustness of multimodal language model agents☆97Updated 4 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆94Updated last year
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆31Updated 8 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated last year
- [ICLR 2025] PyTorch Implementation of "ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time"☆24Updated 3 weeks ago
- A instruction data generation system for multimodal language models.☆33Updated 5 months ago
- ☆44Updated 5 months ago
- ☆23Updated 4 months ago