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
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆86Updated 9 months ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- ☆37Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆22Updated 5 years ago
- ☆56Updated 4 years ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Updated last year
- Papers and online resources related to machine learning fairness☆70Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆69Updated last year
- ☆23Updated 3 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated 2 months ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆44Updated 7 months ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆153Updated last year
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆314Updated 4 months ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- ☆29Updated 3 years ago
- ☆10Updated 3 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆117Updated last month
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆9Updated 5 years ago
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆26Updated 5 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 3 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 11 months ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆15Updated 4 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago