Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"
☆25Feb 12, 2020Updated 6 years ago
Alternatives and similar repositories for Excessive-Invariance
Users that are interested in Excessive-Invariance are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆31Oct 7, 2020Updated 5 years ago
- StrAttack, ICLR 2019☆33Aug 4, 2019Updated 7 years ago
- ☆11Sep 20, 2019Updated 6 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Jun 5, 2022Updated 4 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Jan 7, 2022Updated 4 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.
- Convex Layerwise Adversarial Training (COLT)☆29Jan 13, 2021Updated 5 years ago
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆30Oct 31, 2022Updated 3 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Jul 15, 2020Updated 6 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Jul 25, 2024Updated 2 years ago
- Interval attacks (adversarial ML)☆21Jun 17, 2019Updated 7 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆17Oct 7, 2022Updated 3 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆103Jul 25, 2024Updated 2 years ago
- NIPS Adversarial Vision Challenge☆41Sep 17, 2018Updated 7 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.
- ☆16Nov 30, 2022Updated 3 years ago
- [ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations☆31Aug 6, 2021Updated 5 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Nov 12, 2020Updated 5 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
- Geometric Certifications of Neural Nets☆42Nov 22, 2022Updated 3 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 6 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆25Jun 7, 2025Updated last year
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆21Oct 20, 2021Updated 4 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆176May 3, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆560Mar 30, 2023Updated 3 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Dec 8, 2022Updated 3 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 5 years ago
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆27Jun 15, 2019Updated 7 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Mar 19, 2020Updated 6 years ago
- Show-and-Fool: Adversarial Examples for Image Captioning task☆56Jul 6, 2021Updated 5 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆229Nov 9, 2019Updated 6 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Aug 15, 2023Updated 3 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Mar 29, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆12Feb 5, 2020Updated 6 years ago
- ☆13Dec 21, 2018Updated 7 years ago
- [ICML 2022] "Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness" by Tianlong Chen*, Huan Zhang*, Zhenyu Zhang, Shiyu…☆16Jun 22, 2022Updated 4 years ago
- Ensemble Adversarial Training on MNIST☆122Jun 20, 2017Updated 9 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆44Aug 3, 2020Updated 6 years ago
- Code for FAB-attack☆34Jul 10, 2020Updated 6 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated 2 years ago