Code for "Neural Tangent Generalization Attacks" (ICML 2021)
☆41Jul 29, 2021Updated 5 years ago
Alternatives and similar repositories for ntga
Users that are interested in ntga are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆16Updated this week
- ☆54Sep 11, 2021Updated 5 years ago
- Codes for the ICLR 2022 paper: Trigger Hunting with a Topological Prior for Trojan Detection☆11Sep 19, 2023Updated 3 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 5 years ago
- This work corroborates a run-time Trojan detection method exploiting STRong Intentional Perturbation of inputs, is a multi-domain Trojan …☆10Mar 7, 2021Updated 5 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.
- AdvDoor: Adversarial Backdoor Attack of Deep Learning System☆32Nov 5, 2024Updated 2 years ago
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 3 years ago
- [ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"☆50Jul 20, 2024Updated 2 years ago
- ☆12Dec 20, 2024Updated last year
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Oct 24, 2023Updated 3 years ago
- [ICLR 2023 Spotlight] One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks☆14Sep 28, 2025Updated last year
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- ☆16Dec 3, 2021Updated 4 years ago
- The code for NIPS paper Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder☆20Feb 17, 2020Updated 6 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.
- competition☆16Aug 1, 2020Updated 6 years ago
- A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)☆11Jun 10, 2020Updated 6 years ago
- Official Implementation for "Nearest Is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks" (CVPR 2…☆12Aug 14, 2024Updated 2 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆31Jul 11, 2023Updated 3 years ago
- ☆19Mar 26, 2022Updated 4 years ago
- ☆19Sep 9, 2020Updated 6 years ago
- ☆16Feb 26, 2025Updated last year
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Nov 27, 2023Updated 2 years ago
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆16Jan 13, 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.
- Breaking Certifiable Defenses☆17Nov 22, 2022Updated 3 years ago
- Data-Efficient Backdoor Attacks☆20Jun 15, 2022Updated 4 years ago
- ☆19Jun 21, 2021Updated 5 years ago
- Pytorch Datasets for Easy-To-Hard☆30Jan 9, 2025Updated last year
- ☆18Nov 13, 2021Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Mar 12, 2021Updated 5 years ago
- Defending Against Backdoor Attacks Using Robust Covariance Estimation☆23Jul 12, 2021Updated 5 years ago
- ☆20May 6, 2022Updated 4 years ago
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27May 1, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆20Oct 28, 2025Updated last year
- [NeurIPS 2025] Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack☆15Nov 19, 2025Updated 11 months ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Jan 3, 2023Updated 3 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Apr 28, 2020Updated 6 years ago
- From Gradient Leakage to Adversarial Attacks in Federated Learning☆15Sep 21, 2021Updated 5 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Aug 22, 2023Updated 3 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆65May 8, 2023Updated 3 years ago