ASTRAL-Group / SVIPLinks
SVIP: Towards Verifiable Inference of Open-Source Large Language Models
☆11Updated this week
Alternatives and similar repositories for SVIP
Users that are interested in SVIP are comparing it to the libraries listed below
Sorting:
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆54Updated last year
- ☆20Updated 6 months ago
- This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)☆21Updated 8 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆16Updated 2 months ago
- [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs☆13Updated 3 months ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated last year
- Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"☆18Updated last year
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆24Updated 2 years ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆42Updated 7 months ago
- The collection of papers about Private Evolution☆16Updated 3 weeks ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆27Updated 2 months ago
- ☆39Updated 9 months ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 6 months ago
- Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"☆31Updated 5 months ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆18Updated 2 years ago
- ☆29Updated last year
- ☆39Updated 8 months ago
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆49Updated 4 months ago
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆53Updated 9 months ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆11Updated 3 months ago
- ☆15Updated 11 months ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Updated 10 months ago
- Code to replicate the Representation Noising paper and tools for evaluating defences against harmful fine-tuning☆19Updated 5 months ago
- [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning☆10Updated 7 months ago
- Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"☆24Updated last year
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆21Updated last week
- ☆30Updated 11 months ago
- Code for NeurIPS 2024 Paper "Fight Back Against Jailbreaking via Prompt Adversarial Tuning"☆12Updated last month