Related materials for robust and explainable machine learning
☆48Jan 29, 2018Updated 8 years ago
Alternatives and similar repositories for Robust-and-Explainable-Machine-Learning
Users that are interested in Robust-and-Explainable-Machine-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- ☆11Sep 20, 2019Updated 6 years ago
- mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning☆11Jun 19, 2017Updated 8 years ago
- NIPS Adversarial Vision Challenge☆41Sep 17, 2018Updated 7 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Aug 23, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆48May 14, 2021Updated 4 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆136May 29, 2018Updated 7 years ago
- Implements attacks and defenses for machine learning systems☆13May 7, 2017Updated 8 years ago
- Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge☆19May 1, 2019Updated 7 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆35Dec 18, 2018Updated 7 years ago
- ☆20Mar 14, 2022Updated 4 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Sep 29, 2015Updated 10 years ago
- Code to replicate "Generating Visual Explanations"☆48Nov 1, 2020Updated 5 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Nov 10, 2017Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Website for Security and Privacy of Machine Learning☆14Dec 27, 2021Updated 4 years ago
- AAAI 2019 oral presentation☆53May 30, 2025Updated 11 months ago
- Empirical tricks for training robust models (ICLR 2021)☆257May 25, 2023Updated 2 years ago
- Contains implementation of denoising algorithms.☆11Jul 16, 2020Updated 5 years ago
- Sequenced Show, Attend, and Tell: Natural Language from Natural Images☆12Jun 15, 2016Updated 9 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Aug 10, 2017Updated 8 years ago
- Analysis of Adversarial Logit Pairing☆60Aug 13, 2018Updated 7 years ago
- Residual LSTM for sanskrit text generation☆19May 2, 2018Updated 7 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Scaleable input gradient regularization☆22Jul 8, 2019Updated 6 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆13Sep 27, 2018Updated 7 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆256Oct 30, 2019Updated 6 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆113Feb 14, 2018Updated 8 years ago
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.☆142Jun 25, 2018Updated 7 years ago
- ☆79Jan 16, 2018Updated 8 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Oct 20, 2017Updated 8 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆14Nov 25, 2017Updated 8 years ago
- ☆11Jun 9, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- Data independent universal adversarial perturbations☆63Mar 20, 2020Updated 6 years ago
- ☆17Oct 8, 2015Updated 10 years ago
- Code release for Hu et al. Modeling Relationships in Referential Expressions with Compositional Modular Networks. in CVPR, 2017☆67Sep 20, 2018Updated 7 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆238Mar 27, 2018Updated 8 years ago
- Parameter-Space Saliency Maps for Explainability☆23Mar 21, 2023Updated 3 years ago
- ☆22Jul 28, 2020Updated 5 years ago