ReDS Lab
Responsible Data Science Lab @ Virginia Tech | AI Security & Privacy & More
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Repositories
Showing 10 of 15 repositories
- Nash-Meta-Learning Public
Official implementation of "Fairness-Aware Meta-Learning via Nash Bargaining." We explore hypergradient conflicts in one-stage meta-learning and their impact on fairness. Our two-stage approach uses Nash bargaining to mitigate conflicts, enhancing fairness and model performance simultaneously.
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- 2d-shapley Public
This is an official repository for "2D-Shapley: A Framework for Fragmented Data Valuation" (ICML2023).
- Trojan_Removal_Benchmark Public
- ASSET Public
This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.