ninghaohello / Interpretation2AdversaryLinks
Adversarial learning by utilizing model interpretation
☆10Updated 7 years ago
Alternatives and similar repositories for Interpretation2Adversary
Users that are interested in Interpretation2Adversary are comparing it to the libraries listed below
Sorting:
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 4 months ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition☆10Updated 4 years ago
- Beyond Outlier Detection: LookOut for Pictorial Explanation☆26Updated 6 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆21Updated 6 years ago
- [ICML 2021] Information Obfuscation of Graph Neural Networks☆36Updated 4 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆24Updated 6 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- Deep Graph Kernels☆13Updated 10 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 4 years ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- ☆33Updated 7 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆31Updated 7 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".☆21Updated 3 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Updated 6 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Updated 6 years ago
- ☆16Updated 6 years ago
- Semi supervised learning on graphs☆35Updated 8 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆17Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection☆11Updated 4 years ago
- Open category classification by adversarial sample generation☆21Updated 5 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Updated 4 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆22Updated 8 years ago