LTS4 / hold-me-tightView external linksLinks
Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
☆21Dec 10, 2021Updated 4 years ago
Alternatives and similar repositories for hold-me-tight
Users that are interested in hold-me-tight are comparing it to the libraries listed below
Sorting:
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Dec 22, 2022Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Sep 11, 2023Updated 2 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".☆13Sep 11, 2020Updated 5 years ago
- This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.☆30Aug 22, 2022Updated 3 years ago
- ☆16Dec 7, 2021Updated 4 years ago
- Speeech Recognition for Indic languages.☆13Apr 3, 2021Updated 4 years ago
- A fast sparse attack on deep neural networks.☆51Sep 27, 2020Updated 5 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Jul 3, 2020Updated 5 years ago
- A School for All Seasons on Trustworthy Machine Learning☆12Jun 30, 2021Updated 4 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 2 years ago
- ☆18Oct 29, 2021Updated 4 years ago
- ☆16Feb 25, 2023Updated 2 years ago
- Repository for reproducing `Model-Based Robust Deep Learning`☆16Jan 22, 2021Updated 5 years ago
- ☆17Feb 16, 2024Updated last year
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Aug 21, 2020Updated 5 years ago
- Implementation of RegNetY in TensorFlow 2☆21Jan 15, 2023Updated 3 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated last year
- CIFAR-5m dataset☆40Dec 28, 2020Updated 5 years ago
- Adversarially Robust Transfer Learning with LWF loss applied to the deep feature representation (penultimate) layer☆19Feb 9, 2020Updated 6 years ago
- Meta-SGD Algorithms Implementation☆22Jul 18, 2024Updated last year
- How to do mixup training from image files in Keras☆20Jan 13, 2019Updated 7 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Oct 21, 2021Updated 4 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Feb 24, 2022Updated 3 years ago
- Keras implementation of Global Context Attention blocks☆46Apr 29, 2019Updated 6 years ago
- Contains code to demonstrate distributed training in TensorFlow 2 with AI Platform and custom Docker contains.☆20Apr 28, 2021Updated 4 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- Tensorflow style transfer in video☆23Sep 13, 2020Updated 5 years ago
- ☆34Jul 8, 2025Updated 7 months ago
- LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)☆27Jun 23, 2021Updated 4 years ago
- ☆30Jun 19, 2023Updated 2 years ago
- Research prototype of deletion efficient k-means algorithms☆24Dec 19, 2019Updated 6 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Feb 27, 2020Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- SimCLR pytorch implementation using DistributedDataParallel.☆24Dec 8, 2022Updated 3 years ago
- High-performance, asynchronous Python HTTP client library designed for faster file transfers using concurrency, semaphores, and fault-tol…☆59May 12, 2025Updated 9 months ago
- Code repository to accompany the O'Reilly book: "Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery"☆57Jun 29, 2020Updated 5 years ago