sharonWANGS

sharonWANGS's Stars

• adap/flower

  Flower: A Friendly Federated AI Framework

  Language:Python5.6k45607957

• TsingZ0/PFLlib

  Master Federated Learning in 2 Hours—Run It on Your PC!

  Language:Python1.7k11209333

• exiawsh/StreamPETR

  [ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

  Language:Python6471224471

• KarhouTam/FL-bench

  Benchmark of federated learning. Dedicated to the community. 🤗

  Language:Python55769895

• AIR-THU/DAIR-V2X

  Language:Python491189871

• NVlabs/DiffPure

  A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.

  Language:Python28743034

• WindVChen/DiffAttack

  An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.

  Language:Python19233417

• SIAT-INVS/CarlaFLCAV

  federated learning autonomous driving in CARLA simulation

  Language:Python1484730

• lishenghui/blades

  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

  Language:Python14122122

• iyttor/GPNN

  Pytorch implementation of the paper: "Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models"

  Language:Python6531010

• zhuohangli/GGL

  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".

  Language:Jupyter Notebook574015

• jeremy313/Soteria

  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"

  Language:Jupyter Notebook552010

• KaiyuanZh/FLIP

  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning

  Language:Python53342

• JianXu95/FedPAC

  Simplified Implementation of FedPAC

  Language:Python52148

• Traffic-X/MonoUNI

  Official implementation of the NeurIPS 2023 paper MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues.

  Language:Python481257

• cleverhans-lab/entangled-watermark

  Language:Python451412

• Erosinho13/FedDrive

  Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

  Language:Python39256

• aioz-ai/FADNet

  Deep Federated Learning for Autonomous Driving (IV'22)

  Language:Python37336

• jinghuichen/Focused-Flip-Federated-Backdoor-Attack

  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning

  Language:Python37133

• rruisong/Awesome-Federated-Learning-for-Autonomous-Driving

  FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)

  37115

• NVlabs/A5

  Adversarial Augmentation Against Adversarial Attacks

  Language:Python30313

• ybdai7/Backdoor-indicator-defense

  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning" (https://www.usenix.org/conference/usenixsecurity24/presentation/li-songze)

  Language:Python29172

• CyprienQuemeneur/fedpylot

  FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles

  Language:Jupyter Notebook282311

• kkkcx/DIFFender

  Language:Python19150

• nikosgalanis/data-poisoning-defense-fl

  💉🔐 Novel algorithm for defending against Data Poisoning Attacks in a Federated Learning scenario

  Language:Jupyter Notebook18312

• mattbev/6.867-final-project

  Adversarial attacks and defenses against federated learning.

  Language:Python15237

• rruisong/FedBEVT

  Federated Learning for Bird's Eye View Perception Based on Multi-Camera Data

  Language:Python14122

• nathaniel-hudson/SUMO-FedRL

  Implementation of Federated Reinforcement Learning for traffic control using SUMO and a real-world testbed.

  Language:Jupyter Notebook9111

• youzunzhi/NIM-AdvDef

  Code repo for the paper "Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense"

  Language:Python8120

• lambdavi/SatDrive-SegFL

  MLDL '23 Project: Federated Learning and Semantic Segmentation for Autonomous Driving and Satellite Images Segmentation

  Language:Python7104