This repo collects the best papers from top 4 computer security conferences, including IEEE S&P, ACM CCS, USENIX Security, and NDSS.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

The official code repository of ShaSpec model from CVPR 2023 [paper](https://arxiv.org/pdf/2307.14126) "Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling"

A vscode inspired portfolio website

Minimal is a Jekyll theme for GitHub Pages

Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Breaching privacy in federated learning scenarios for vision and text

An algorithm to calculate the convex hull of ReLU function for neural network verification.

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

A MNIST-like fashion product database. Benchmark 👇

[CVPR 2023] DepGraph: Towards Any Structural Pruning

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily a…

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

A curated list of neural network pruning resources.

A Character-level Perturbation Generator based on probability distribution, density and diversity.

A cpp project for OOP course in UofA

Causal Reasoning for Membership Inference Attacks

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

CV′3315 Is All You Need – Semantic Segmentation Course Competition @ The University of Adelaide

CV′3315 Is All You Need – Semantic Segmentation Course Competition @ The University of Adelaide

Collection of common code that's shared among different research projects in FAIR computer vision team.