MACER: MAximizing CErtified Radius (ICLR 2020)
☆31Jan 5, 2020Updated 6 years ago
Alternatives and similar repositories for macer
Users that are interested in macer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Provable adversarial robustness at ImageNet scale☆410May 20, 2019Updated 6 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆26May 2, 2023Updated 2 years ago
- ☆12Dec 23, 2019Updated 6 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆14Jul 16, 2021Updated 4 years ago
- Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool☆22Jul 15, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- ☆20Nov 5, 2019Updated 6 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Secur…☆11Aug 24, 2022Updated 3 years ago
- Project page: https://jespark.net/projects/2024/community_forensics/☆35Jan 6, 2026Updated 3 months ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Jul 23, 2020Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Aug 8, 2019Updated 6 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated last year
- Universal Adversarial Networks☆32Jul 30, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 3 years ago
- Neural Capture of Animatable 3D Human from Monocular Video(ECCV 2022)☆11Jul 19, 2022Updated 3 years ago
- ☆13Oct 21, 2021Updated 4 years ago
- ☆10Jul 13, 2024Updated last year
- ☆29May 22, 2015Updated 10 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Apr 29, 2020Updated 5 years ago
- ☆31Oct 7, 2020Updated 5 years ago
- Convexified Convolutional Neural Networks☆15Dec 13, 2016Updated 9 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆19Jul 20, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆21Oct 25, 2023Updated 2 years ago
- [CVPR2026] Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning☆42Mar 27, 2026Updated 2 weeks ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.☆13Feb 23, 2021Updated 5 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated last year
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 4 years ago
- An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks☆14Oct 22, 2021Updated 4 years ago
- ☆13Jul 25, 2024Updated last year
- Library for training globally-robust neural networks.☆31Aug 7, 2025Updated 8 months ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Nov 21, 2022Updated 3 years ago
- ☆20Jun 5, 2023Updated 2 years ago
- A novel data-free model stealing method based on GAN☆134Oct 11, 2022Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆551Mar 30, 2023Updated 3 years ago
- Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"☆74Jul 13, 2022Updated 3 years ago
- Princeton University Ph.D. Dissertation Template☆18Apr 9, 2017Updated 9 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆11Mar 29, 2022Updated 4 years ago