ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein and Furong Huang
☆26May 2, 2023Updated 3 years ago
Alternatives and similar repositories for Dynamics-Aware-Robust-Training
Users that are interested in Dynamics-Aware-Robust-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:
- 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
- ICCV 2021 papers and code focus on adversarial attacks and defense☆11Nov 5, 2021Updated 4 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 4 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks☆14Oct 22, 2021Updated 4 years ago
- 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.
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 5 years ago
- ☆20Feb 8, 2024Updated 2 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Sep 27, 2022Updated 3 years ago
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆23Jul 25, 2024Updated last year
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆32Apr 28, 2022Updated 4 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆16Feb 15, 2022Updated 4 years ago
- ☆21Oct 25, 2023Updated 2 years ago
- ☆54Sep 11, 2021Updated 4 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.
- ☆10Jul 13, 2024Updated last year
- LLA is a PyTorch library that allows to visualize and analyze loss landscapes of neural networks.☆14Dec 9, 2025Updated 5 months ago
- Official implementation of the paper "From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client…☆12Mar 13, 2025Updated last year
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- LSA : Layer Sustainability Analysis framework for the analysis of layer vulnerability in a given neural network. LSA can be a helpful too…☆18Mar 22, 2022Updated 4 years ago
- Rewarded soups official implementation☆63Sep 27, 2023Updated 2 years ago
- Resources for starting the Machine learning and Deep learning.☆10Dec 29, 2020Updated 5 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Nov 21, 2022Updated 3 years ago
- Export [detectron2](https://github.com/facebookresearch/detectron2) model to [onnx](https://github.com/onnx/onnx) and run inference using…☆16Mar 18, 2021Updated 5 years ago
- Eino Learn is a free and open-source learning platform that provides a wide range of educational resources and tools for learners of all …☆15Mar 19, 2026Updated last month
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆26Jun 9, 2023Updated 2 years ago
- 🐯REPLICA of "Auction-based combinatorial multi-armed bandit mechanisms with strategic arms"☆11Dec 17, 2023Updated 2 years ago
- ☆18Apr 27, 2022Updated 4 years ago
- Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE☆16Nov 5, 2024Updated last year
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆11Mar 29, 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆10Jun 5, 2021Updated 4 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- [CHIL 2024] Interpretation of Intracardiac Electrograms Through Textual Representations☆12Sep 4, 2024Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆61Jan 15, 2025Updated last year
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- 通用LLM代理Cloudflare Worker,支持 openai/gemini/groq/anthropic/sambanova☆27Mar 4, 2025Updated last year
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Nov 30, 2024Updated last year