This is the code repository of our submission: Understanding the Dark Side of LLMs’ Intrinsic Self-Correction.

[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…

MoVQGAN - model for the image encoding and reconstruction

[CVPR 2024] Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers

Official repository for paper "MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement"

Official Repository of ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

This repository is the official implementation of the paper "VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge"

Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

Ongoing research training transformer models at scale

Source code for the ICDM paper ``HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks"

This is a repo of "3D adversarial sample".

PyTorch implementation of Expectation over Transformation

Code for Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks (NeurIPS 2022)

A unified framework for 3D content generation.

The most critical downside to AI is that its inefficiency is directly related to its data quality. Presently there are very few methods available that are used to protect the data from being attack…

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

The code releasing for https://image-dream.github.io/

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

The official Meta Llama 3 GitHub site

[NeurIPS 2023] Content-based Unrestricted Adversarial Attack

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)

[NeurIPS 2023] Content-based Unrestricted Adversarial Attack

Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topics in Deep Learning course at Aalto University, Finland.