This is the official implementation of ClusTR: Clustering Training for Robustness paper.
☆21Oct 20, 2021Updated 4 years ago
Alternatives and similar repositories for Rethinking-Clustering-for-Robustness
Users that are interested in Rethinking-Clustering-for-Robustness are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Dec 30, 2022Updated 3 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Jul 20, 2022Updated 3 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆12Nov 22, 2019Updated 6 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Nov 5, 2020Updated 5 years ago
- This is the code for semi-supervised robust training (SRT).☆18Mar 24, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- ☆33Nov 27, 2017Updated 8 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- ☆60Jun 18, 2021Updated 4 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆45Feb 24, 2022Updated 4 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- code for model-targeted poisoning☆12Oct 3, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆161Feb 26, 2021Updated 5 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆11Mar 29, 2022Updated 4 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- code for paper "learning to fool the speaker recognition"☆10Jun 12, 2020Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- A fast sparse attack on deep neural networks.☆51Sep 27, 2020Updated 5 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- A general method for training cost-sensitive robust classifier☆22May 29, 2019Updated 7 years ago
- R package for statistical inference using panelPOMPs (panel Partially Observed Markov Processes)☆10Sep 10, 2024Updated last year
- 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.
- Audio-only Emotion Detection using Federated Learning☆10Dec 8, 2022Updated 3 years ago
- ☆16Aug 18, 2021Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Mar 1, 2022Updated 4 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Nov 23, 2020Updated 5 years ago
- Code for FAB-attack☆33Jul 10, 2020Updated 5 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 5 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 6 years ago
- Privacy-preserving Voice Analysis via Disentangled Representations☆12Aug 30, 2021Updated 4 years ago
- Universal Adversarial Networks☆32Jul 30, 2018Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Nov 9, 2019Updated 6 years ago
- ☆45Oct 20, 2022Updated 3 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆190Feb 18, 2021Updated 5 years ago
- A light-weight Python library for computing Kaldi-style acoustic features based on NumPy☆14Aug 17, 2020Updated 5 years ago
- ☆12Jul 7, 2021Updated 4 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆46Nov 6, 2022Updated 3 years ago
- Implemention of "Piracy Resistant Watermarks for Deep Neural Networks" in TensorFlow.☆12Dec 5, 2020Updated 5 years ago