Improved DP-SGD for optimizing

Training PyTorch models with differential privacy

nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy

A codebase that makes differentially private training of transformers easy.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

A simple and effective LLM pruning approach.

Project dedicated to safe and easy fintech model training ensuring data privacy

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…

Learning rate adaptation for differentially private stochastic gradient descent

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A collection list for Large Language Model (LLM) Watermark

Code for Spotting Temporally Precise, Fine-Grained Events in Video

OpenMMLab Detection Toolbox and Benchmark

A Context-Aware Loss Function for Action Spotting in Soccer Videos

Library to perform image and video self-supervised learning.

Development Kit for the SoccerNet Challenge

Dataset and Code for CVSports at CVPR 2024 paper "AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements"

Official research projects of badminton CoachAI

[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

This is a project in which side-channel attacks are researched and developed.