axa-rev-research / LowProFool
Repository of the paper "Imperceptible Adversarial Attacks on Tabular Data" presented at NeurIPS 2019 Workshop on Robust AI in Financial Services (Robust AI in FS 2019)
☆15Updated 3 years ago
Alternatives and similar repositories for LowProFool:
Users that are interested in LowProFool are comparing it to the libraries listed below
- Methods for removing learned data from neural nets and evaluation of those methods☆36Updated 4 years ago
- ☆37Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated 2 months ago
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆37Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆314Updated 4 months ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- A Python Data Valuation Package☆30Updated 2 years ago
- ☆56Updated 4 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- ☆29Updated 3 years ago
- ☆16Updated 3 years ago
- Papers and online resources related to machine learning fairness☆72Updated last year
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆28Updated 11 months ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆22Updated 5 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- ☆17Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆117Updated 2 months ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- An amortized approach for calculating local Shapley value explanations☆97Updated last year
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Updated 2 years ago
- Existing literature about training-data analysis.☆16Updated 3 years ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 11 months ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆124Updated this week
- A simple PyTorch implementation of influence functions.☆85Updated 10 months ago
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)☆15Updated last year
- verifying machine unlearning by backdooring☆20Updated 2 years ago