Pinned Repositories
breaching
Breaching privacy in federated learning scenarios for vision and text
CSE830
MSU - CSE830
CSE891Proj1
Project 1 of CSE 891 at MSU
GradAttack
GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.
inversion-influence-function
Understanding Deep Gradient Leakage via Inversion Influence Functions, NeurIPS 2023
invertinggradients
Forked from the paper "Inverting the gradients"
leaf
Leaf: A Benchmark for Federated Settings
SplitMix
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
tdc2023-starter-kit
This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
haobozhang's Repositories
haobozhang/inversion-influence-function
Understanding Deep Gradient Leakage via Inversion Influence Functions, NeurIPS 2023
haobozhang/breaching
Breaching privacy in federated learning scenarios for vision and text
haobozhang/CSE830
MSU - CSE830
haobozhang/CSE891Proj1
Project 1 of CSE 891 at MSU
haobozhang/GradAttack
GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.
haobozhang/invertinggradients
Forked from the paper "Inverting the gradients"
haobozhang/leaf
Leaf: A Benchmark for Federated Settings
haobozhang/SplitMix
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
haobozhang/tdc2023-starter-kit
This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.