franciscoliu / MLLMU-BenchLinks
[NAACL 2025 Main] Official Implementation of MLLMU-Bench
β29Updated 4 months ago
Alternatives and similar repositories for MLLMU-Bench
Users that are interested in MLLMU-Bench are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight π₯ ] - [ Best Paper Award SoCal NLP 2023 π] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modalβ¦β65Updated last year
- [ECCV 2024] The official code for "AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shiβ¦β62Updated last year
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.β72Updated 6 months ago
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking β¦β34Updated 9 months ago
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)β29Updated 9 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"β81Updated last year
- [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignmentβ22Updated last month
- [CVPR-25π₯] Test-time Counterattacks (TTC) towards adversarial robustness of CLIPβ29Updated 2 months ago
- An implementation for MLLM oversensitivity evaluationβ13Updated 8 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?β31Updated 9 months ago
- β49Updated 8 months ago
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"β92Updated 8 months ago
- A Task of Fictitious Unlearning for VLMsβ19Updated 4 months ago
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steeringβ66Updated 8 months ago
- β46Updated 8 months ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Modelsβ138Updated 2 months ago
- [ICLR 2025] PyTorch Implementation of "ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time"β24Updated 2 weeks ago
- List of T2I safety papers, updated daily, welcome to discuss using Discussionsβ62Updated 11 months ago
- β37Updated last year
- β50Updated last week
- A curated list of resources dedicated to the safety of Large Vision-Language Models. This repository aligns with our survey titled A Survβ¦β126Updated last month
- The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsβ¦β80Updated 5 months ago
- [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Geneβ¦β22Updated 3 weeks ago
- [CVPR 2025] Official implementation for "Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreβ¦β35Updated last month
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Modelβ¦β45Updated 9 months ago
- β18Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Modelsβ55Updated last year
- Accepted by ECCV 2024β147Updated 9 months ago
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"β51Updated 6 months ago
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2β¦β56Updated 4 months ago