Framartin/MASEval
Multi-Agent LLM Evaluation
Research Lead @parameterlab working on Trustworthy AI
Multi-Agent LLM Evaluation
Search-based Translation-Enhanced Approach for Multilingual watermarking (STEAM)
Watermarking papers
A collection list for Large Language Model (LLM) Watermark
A curated list of watermarking schemes for generative AI models
A curated list of trustworthy deep learning papers. Daily updating...
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
Awesome list for research on GEO (Generative Engine Optimization)
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed.
Source of the UAI2022 paper "Efficient and Transferable Adversarial Examples from Bayesian Neural Networks"
Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
An awesome list of papers about LLM fingerprinting.
UP-TO-DATE LLM Watermark paper. 🔥🔥🔥
The lastest paper about detection of LLM-generated text and code
An awesome list of papers on privacy attacks against machine learning
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A curation of awesome tools, documents and projects about LLM Security.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Adversarial perturbation intensity strategy achieving chosen intra-technique transferability level for logistic regression
Python package for measuring memorization in LLMs.
Implementation of famous board game Dixit in Python with Flask-SocketIO
The personal website framework for Hugo. Demo at
Universal and Transferable Attacks on Aligned Language Models
Scrapy project to import data from bn.gov.ar to Wikicommons and Wikidata
Statistical Network Analysis of a Field on Wikipedia In English
Source of the paper "Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability"
95.47% on CIFAR10 with PyTorch