mndu / guided-feature-inversionLinks
PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion
☆21Updated 6 years ago
Alternatives and similar repositories for guided-feature-inversion
Users that are interested in guided-feature-inversion are comparing it to the libraries listed below
Sorting:
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 4 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Updated 5 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆85Updated 6 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Updated 6 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 3 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆28Updated 6 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- ☆26Updated 6 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 4 years ago
- StrAttack, ICLR 2019☆33Updated 6 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆90Updated 6 years ago
- Code for NeurIPS 2019 Paper☆47Updated 5 years ago
- ☆26Updated 2 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Updated 6 years ago
- Detect adversarial images from intermediate features in distance space☆12Updated 7 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- Data independent universal adversarial perturbations☆62Updated 5 years ago
- ☆48Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago