This is the official implementation of ClusTR: Clustering Training for Robustness paper.
☆20Oct 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
Sorting:
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Dec 30, 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
- code for model-targeted poisoning☆12Oct 3, 2023Updated 2 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆57Nov 5, 2020Updated 5 years ago
- ☆33Nov 27, 2017Updated 8 years ago
- Adversarially Robust Transfer Learning with LWF loss applied to the deep feature representation (penultimate) layer☆19Feb 9, 2020Updated 6 years ago
- This is the code for semi-supervised robust training (SRT).☆18Mar 24, 2023Updated 2 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Jul 20, 2022Updated 3 years ago
- A general method for training cost-sensitive robust classifier☆22May 29, 2019Updated 6 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Feb 24, 2022Updated 4 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 7 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Dec 30, 2021Updated 4 years ago
- ☆58Jun 18, 2021Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Mar 30, 2020Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- A fast sparse attack on deep neural networks.☆51Sep 27, 2020Updated 5 years ago
- ☆162Feb 26, 2021Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- Revisiting Test Time Adaptation Under Online Evaluation☆35May 2, 2024Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Jul 19, 2023Updated 2 years ago
- DiagnoSys is a comprehensive web application that provides advanced detection and analysis for various health conditions. This project le…☆14May 6, 2024Updated last year
- ☆10Feb 27, 2026Updated last week
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Jul 25, 2024Updated last year
- Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)☆34Jan 26, 2022Updated 4 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Nov 9, 2019Updated 6 years ago
- Universal Adversarial Networks☆32Jul 30, 2018Updated 7 years ago
- ☆10Nov 16, 2023Updated 2 years ago
- This repository shows how to implement a basic model for multimodal entailment.☆10Aug 17, 2021Updated 4 years ago
- Cross-platform Batoto manga downloading tool, written in python☆15Feb 11, 2018Updated 8 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 5 years ago
- ☆38Jun 10, 2021Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Feb 18, 2021Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- ☆12Jan 25, 2025Updated last year