SaFoLab-WISC / FIUBenchLinks
A Task of Fictitious Unlearning for VLMs
☆19Updated 4 months ago
Alternatives and similar repositories for FIUBench
Users that are interested in FIUBench are comparing it to the libraries listed below
Sorting:
- An implementation for MLLM oversensitivity evaluation☆13Updated 8 months ago
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆72Updated 6 months ago
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆29Updated 9 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆81Updated last year
- Official Code and data for ACL 2024 finding, "An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"☆20Updated 8 months ago
- ☆23Updated 4 months ago
- [ECCV 2024] The official code for "AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shi…☆62Updated last year
- The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"☆38Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆66Updated 8 months ago
- ☆37Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆77Updated 10 months ago
- Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …☆68Updated this week
- [ICLR 2025] PyTorch Implementation of "ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time"☆24Updated 2 weeks ago
- [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment☆22Updated last month
- The reinforcement learning codes for dataset SPA-VL☆36Updated last year
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆24Updated last week
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆35Updated 2 weeks ago
- [NAACL 2025 Main] Official Implementation of MLLMU-Bench☆29Updated 4 months ago
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆55Updated last year
- ☆50Updated last week
- ☆41Updated 10 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆31Updated 9 months ago
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆51Updated 6 months ago
- Official repository for "Safety in Large Reasoning Models: A Survey" - Exploring safety risks, attacks, and defenses for Large Reasoning …☆64Updated last month
- ☆49Updated 8 months ago
- ☆21Updated 4 months ago
- Accepted by ECCV 2024☆147Updated 9 months ago
- [ACL 2025] Data and Code for Paper VLSBench: Unveiling Visual Leakage in Multimodal Safety☆48Updated 2 weeks ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 10 months ago