Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021
☆19Dec 6, 2021Updated 4 years ago
Alternatives and similar repositories for minmax-adv
Users that are interested in minmax-adv are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆23Jun 15, 2022Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Nov 17, 2022Updated 3 years ago
- ☆14Dec 18, 2024Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Feb 2, 2022Updated 4 years ago
- ☆22Dec 12, 2022Updated 3 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.
- Original PyTorch implementation of the AdversarialMask paper☆22Apr 16, 2023Updated 2 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
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Aug 28, 2021Updated 4 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- ☆22Jan 12, 2024Updated 2 years ago
- transfer attack; adversarial examples; black-box attack; unrestricted Adversarial Attacks on ImageNet; CVPR2021 天池黑盒竞赛☆24Oct 24, 2021Updated 4 years ago
- Nex General Agentic Data Pipeline, an end-to-end pipeline for generating high-quality agentic training data.☆31Nov 19, 2025Updated 4 months ago
- Official codes for GRA (Accepted by ICCV2023)☆17Jul 18, 2023Updated 2 years ago
- ☆17Sep 23, 2022Updated 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.
- A Backdoor Attack against 3D Point Cloud Classifiers (ICCV2021)☆18Oct 20, 2021Updated 4 years ago
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Jul 7, 2022Updated 3 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆40Mar 20, 2022Updated 4 years ago
- ☆12Sep 22, 2023Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆62May 8, 2023Updated 2 years ago
- Using FGSM, I-FGSM and MI-FGSM to generate and evaluate adversarial samples.☆12Jul 22, 2019Updated 6 years ago
- ☆28Sep 22, 2022Updated 3 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Apr 21, 2024Updated last year
- Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.☆12Apr 17, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Apr 22, 2022Updated 3 years ago
- Using relativism to improve GAN-based Adversarial Attacks. 🦾☆45Mar 24, 2023Updated 3 years ago
- Hybrid action space reinforcement learning algorithms.☆13Mar 26, 2021Updated 5 years ago
- ☆43May 21, 2020Updated 5 years ago
- Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)☆19Aug 30, 2022Updated 3 years ago
- ☆37Jul 3, 2024Updated last year
- Code of our CVPR 2022 paper "Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon"☆64Sep 16, 2025Updated 6 months ago
- This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)☆13Nov 1, 2022Updated 3 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Nov 21, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.☆14Oct 3, 2022Updated 3 years ago
- [ICLR 2025 Spotlight] Weak-to-strong preference optimization: stealing reward from weak aligned model☆18Feb 24, 2025Updated last year
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆10May 8, 2018Updated 7 years ago
- For Competition on Adversarial Attacks and Defenses 2018☆39Jan 4, 2019Updated 7 years ago
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Nov 17, 2021Updated 4 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated last year
- Cross-Modal Transferable Adversarial Attacks from Images to Videos (CVPR 2022)☆21Jul 3, 2024Updated last year