A list of free LLM inference resources accessible via API.

Notre Dame graduate data science class

Membership Inference Attack against Graph Neural Networks

This is the code repository for the paper titled "Bias Propagation in Federated Learning" which was accepted to the International Conference on Learning Representations (ICLR) 2023.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Code for 'SoK: Pitfalls in Evaluating Black-Box Attacks' , SaTML 2024.

Privacy backdoors

[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"

Strategies for Pre-training Graph Neural Networks

FairBatch: Batch Selection for Model Fairness (ICLR 2021)

Inference Attacks Against Graph Neural Networks

FairFB

official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"

From Paper Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation

Fair linear representation

Windows binary build of the Torch machine learning framework