☆16Dec 4, 2019Updated 6 years ago
Alternatives and similar repositories for bilateral-adversarial-training
Users that are interested in bilateral-adversarial-training are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Feature Scattering Adversarial Training (NeurIPS19)☆73Jun 1, 2024Updated 2 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- This project proposed a method to defense against adversarial attack. By combining the proposed preprocessing method with an adversariall…☆10Oct 4, 2018Updated 8 years ago
- code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆16Dec 8, 2022Updated 3 years ago
- Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)☆22Dec 30, 2019Updated 6 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.
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆52Nov 2, 2020Updated 5 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆26Dec 23, 2020Updated 5 years ago
- ☆27Jan 25, 2019Updated 7 years ago
- A Closer Look at Accuracy vs. Robustness☆89May 17, 2021Updated 5 years ago
- Smooth Adversarial Training☆68Nov 16, 2020Updated 5 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Sep 27, 2018Updated 8 years ago
- PatchAttack (ECCV 2020)☆65May 22, 2020Updated 6 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆192Feb 18, 2021Updated 5 years ago
- Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".☆16May 6, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Host CIFAR-10.2 Data Set☆13Sep 22, 2021Updated 5 years ago
- ☆22Sep 13, 2021Updated 5 years ago
- Code for NeurIPS 2019 Paper☆48May 18, 2020Updated 6 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆12Feb 5, 2020Updated 6 years ago
- [ICASSP23] "Visual Prompting for Adversarial Robustness" by Aochuan Chen*, Peter Lorenz*, Yuguang Yao, Pin-Yu Chen, and Sijia Liu☆12Aug 12, 2023Updated 3 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆29Feb 1, 2022Updated 4 years ago
- ☆18Sep 25, 2019Updated 7 years ago
- NeurIPS Reproducbility Challenge 2019☆10Feb 25, 2020Updated 6 years ago
- ☆12Aug 8, 2023Updated 3 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.
- [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
- ☆14Jul 11, 2019Updated 7 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Aug 8, 2019Updated 7 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆40Dec 3, 2024Updated last year
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 4 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
- white box adversarial attack☆37Jan 30, 2021Updated 5 years ago
- Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Met…☆12Mar 3, 2022Updated 4 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Mar 9, 2021Updated 5 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.
- ☆19Jun 26, 2021Updated 5 years ago
- Research Math Agents, Official code release for our paper RMA☆37Sep 17, 2026Updated last month
- This repository contains the code for our AAAI2021 paper CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.☆12Dec 14, 2020Updated 5 years ago
- ☆14Jun 5, 2020Updated 6 years ago
- Empirical tricks for training robust models (ICLR 2021)☆259May 25, 2023Updated 3 years ago
- ManifoldMixup with support for Interpolated Adversarial training☆17Mar 10, 2020Updated 6 years ago
- CAAD 2018 winning submissions☆35Feb 10, 2019Updated 7 years ago