zleizzo / datadeletionLinks
☆14Updated 5 years ago
Alternatives and similar repositories for datadeletion
Users that are interested in datadeletion are comparing it to the libraries listed below
Sorting:
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆20Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Post-processing for fair classification☆16Updated 3 months ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 5 years ago
- ☆50Updated 2 years ago
- ☆38Updated 4 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆20Updated 2 years ago
- ☆13Updated 2 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 3 years ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆20Updated 2 years ago
- ☆46Updated 2 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- ☆34Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- ☆55Updated 5 years ago
- ☆10Updated 4 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Updated 4 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- A simple PyTorch implementation of influence functions.☆91Updated last year
- Computationally friendly hyper-parameter search with DP-SGD☆25Updated 9 months ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago