PGD adversarial training in PyTorch
☆13Sep 4, 2019Updated 7 years ago
Alternatives and similar repositories for Adversarial-training
Users that are interested in Adversarial-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:
- Adversarial attacks including DeepFool and C&W☆13May 20, 2019Updated 7 years ago
- Performing C&W attack on Recurrent Neural Network☆11Sep 26, 2018Updated 7 years ago
- ☆21Mar 30, 2022Updated 4 years ago
- A collection of Linux Malware Detection projects (research paper implementations) done by me.☆11Jan 6, 2019Updated 7 years ago
- ☆12Feb 19, 2025Updated last year
- 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.
- Reproduce Paper "Federated Learning with Non-IID Data"☆10May 3, 2021Updated 5 years ago
- [NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)☆15Nov 21, 2021Updated 4 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 4 years ago
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆40May 15, 2020Updated 6 years ago
- Source Code Search☆12Nov 16, 2023Updated 2 years ago
- Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".☆10Feb 6, 2024Updated 2 years ago
- On the Robustness of GUI Grounding Models Against Image Attacks☆12Apr 8, 2025Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆18Jul 31, 2024Updated 2 years ago
- ☆13Sep 22, 2023Updated 2 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.
- Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"☆62Nov 9, 2023Updated 2 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Nov 23, 2020Updated 5 years ago
- Video packaging platform - this will build a Docker with a web API that will let you upload, encrypt and serve videos as MPEG DASH files☆10Jul 1, 2026Updated 2 months ago
- DeepSAVA: Sparse Adversarial Video Attacks with Spatial Transformations - BMVC 2021 & Neural Networks (2023)☆12Dec 13, 2024Updated last year
- ☆17Jan 19, 2019Updated 7 years ago
- A library for multi-task learning and meta-learning.☆12Feb 7, 2022Updated 4 years ago
- Official repository for PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning, accepted at 2025 IEEE Symposium on…☆18Jul 4, 2025Updated last year
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆22Oct 8, 2024Updated last year
- ☆23Sep 17, 2024Updated last year
- 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.
- Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction☆10Feb 28, 2023Updated 3 years ago
- Code for the paper "Watermarking Makes Language Models Radioactive"☆26Oct 25, 2024Updated last year
- Serializing molecule 3D structures☆14Nov 27, 2024Updated last year
- [ECCV2020] Motion-excited Sampler: Video Adversarial Attack with Sparked Prior☆11Nov 7, 2020Updated 5 years ago
- A curated list of awesome Unlearnable Example papers resources.☆14Dec 14, 2025Updated 8 months ago
- Boosting Transferability through Enhanced Momentum☆14Feb 23, 2024Updated 2 years ago
- A geometric deep learning method for refining and assessing protein complex structures.☆16Oct 22, 2022Updated 3 years ago
- Towards Deep Learning Models Resistant to Adversarial Attacks论文复现☆15Aug 18, 2021Updated 5 years ago
- ☆14Dec 31, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Official PyTorch implemetation of paper "X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection".☆16Feb 21, 2023Updated 3 years ago
- [ACM MM 2025 🔥 Oral] MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Uneth…☆15Mar 13, 2026Updated 5 months ago
- PyTorch Implemetations of Adversarial Examples☆19Jun 25, 2018Updated 8 years ago
- An end-to-end security evaluation framework tailored for real-world personalized agent.☆15Feb 28, 2026Updated 6 months ago
- ☆39Jul 20, 2022Updated 4 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Mar 29, 2023Updated 3 years ago
- [ACM MM2023] Code Release of GCMA: Generative Cross-Modal Transferable Adversarial Attacks from Images to Videos☆12Mar 29, 2024Updated 2 years ago