zihaoliu123 / Feature-Distillation-DNN-Oriented-JPEG-Compression-Against-Adversarial-ExamplesView on GitHub
☆19Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for Feature-Distillation-DNN-Oriented-JPEG-Compression-Against-Adversarial-Examples
Users that are interested in Feature-Distillation-DNN-Oriented-JPEG-Compression-Against-Adversarial-Examples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](http…☆26Feb 13, 2023Updated 3 years ago
- ☆35Dec 16, 2022Updated 3 years ago
- The code accompanying paper: Nonlinear Gradient Estimation for Query Efficient Blackbox Attack☆10Feb 22, 2021Updated 5 years ago
- Universal Adversarial Networks☆32Jul 30, 2018Updated 8 years ago
- NIPS 2017 - Adversarial Learning☆35Dec 4, 2017Updated 8 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.
- ☆36Feb 23, 2024Updated 2 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆117Jul 21, 2022Updated 4 years ago
- ☆28Jun 27, 2022Updated 4 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Mar 9, 2021Updated 5 years ago
- Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5…☆21Nov 11, 2019Updated 6 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆12Dec 22, 2023Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆29Mar 28, 2026Updated 7 months ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆27Jun 30, 2020Updated 6 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Mar 23, 2017Updated 9 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.
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆101Apr 30, 2021Updated 5 years ago
- ☆12Mar 15, 2019Updated 7 years ago
- Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]☆11Mar 14, 2022Updated 4 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆114Jul 7, 2022Updated 4 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆91Jan 17, 2019Updated 7 years ago
- Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)☆42Dec 7, 2020Updated 5 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆32Apr 22, 2022Updated 4 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Jun 7, 2021Updated 5 years ago
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆22Aug 8, 2023Updated 3 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.
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆52Nov 17, 2022Updated 3 years ago
- ☆12Mar 24, 2023Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Mar 12, 2025Updated last year
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 6 years ago
- Release for CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning [AAAI23]☆11Jul 25, 2023Updated 3 years ago
- ☆22Jul 28, 2020Updated 6 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Dec 2, 2018Updated 7 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆69Mar 19, 2018Updated 8 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆187Apr 4, 2023Updated 3 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.
- ☆19Mar 5, 2018Updated 8 years ago
- Mitigating Adversarial Effects Through Randomization☆119Mar 20, 2018Updated 8 years ago
- It turns out that adversarial and clean data are not twins, not at all.☆18Apr 19, 2017Updated 9 years ago
- We develop a black-box adversarial attack method against potential deepfake models based on image-to-image translation GANs utilizing 3 o…☆16Sep 14, 2021Updated 5 years ago
- Official implementation for "DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling" (IEEE S&P 2026)☆13Jan 28, 2026Updated 9 months ago
- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆95Dec 1, 2022Updated 3 years ago
- Code for generating adversarial color-shifted images☆20Nov 11, 2019Updated 6 years ago