whxbergkamp / RobustDL_GANView external linksLinks
☆21Jul 16, 2019Updated 6 years ago
Alternatives and similar repositories for RobustDL_GAN
Users that are interested in RobustDL_GAN are comparing it to the libraries listed below
Sorting:
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Sep 6, 2021Updated 4 years ago
- [ECCV 2020] Pytorch codes for Open-set Adversarial Defense☆22Mar 20, 2022Updated 3 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Jun 25, 2019Updated 6 years ago
- Mitigating Adversarial Effects Through Randomization☆120Mar 20, 2018Updated 7 years ago
- ☆13Dec 8, 2022Updated 3 years ago
- Improving the Generalization of Adversarial Training with Domain Adaptation☆33Feb 25, 2019Updated 6 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Jul 7, 2020Updated 5 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Sep 27, 2018Updated 7 years ago
- ☆14Mar 1, 2019Updated 6 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆142Aug 23, 2023Updated 2 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆246Oct 24, 2019Updated 6 years ago
- ☆19Mar 5, 2018Updated 7 years ago
- Transductive Zero-Shot Hashing For Multi-Label Image Retrieval☆18Jan 18, 2021Updated 5 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆237Mar 27, 2018Updated 7 years ago
- Ensemble Adversarial Training on MNIST☆122Jun 20, 2017Updated 8 years ago
- Ensemble Adversarial Training on MNIST with pytorch☆20Apr 17, 2019Updated 6 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- Implement adversarial arrack on Recurrent Neural network built to perform sentiment analysis with LSTM using TensorFlow☆21Oct 6, 2018Updated 7 years ago
- Source Code for ICRL 2018 Paper: PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples☆26Feb 6, 2020Updated 6 years ago
- ☆67Jun 2, 2022Updated 3 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61May 14, 2019Updated 6 years ago
- 6G元宇宙中关于通感算一体的优化☆11Mar 16, 2024Updated last year
- Large yet imperceptible adversarial perturbations with perceptual color distance (CVPR 2020)☆62Feb 1, 2023Updated 3 years ago
- ☆11Jul 15, 2025Updated 7 months ago
- ☆26Feb 15, 2023Updated 3 years ago
- 本项目是我发表于期刊 Expert Systems with Applications 的论文《Energy-efficient mechanism of task offloading and resource allocation for hierarchical ME…☆25Jun 19, 2025Updated 7 months ago
- Pytorch - Adversarial Training☆26May 9, 2018Updated 7 years ago
- Convex Layerwise Adversarial Training (COLT)☆29Jan 13, 2021Updated 5 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Jun 21, 2018Updated 7 years ago
- ☆13Jan 25, 2023Updated 3 years ago
- Hybrid Precoding/Combining for Rich or Poor Scattering Environments☆11Jul 19, 2019Updated 6 years ago
- ☆12May 6, 2022Updated 3 years ago
- ☆18Jun 12, 2025Updated 8 months ago
- ☆15May 20, 2025Updated 8 months ago
- A Framework for Evaluating AI Agent Safety in Realistic Environments☆30Oct 2, 2025Updated 4 months ago
- ☆12Jun 25, 2023Updated 2 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆40Mar 20, 2022Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Jun 1, 2024Updated last year