From Gradient Leakage to Adversarial Attacks in Federated Learning
☆16Sep 21, 2021Updated 4 years ago
Alternatives and similar repositories for adversarial-attack-from-leakage
Users that are interested in adversarial-attack-from-leakage 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 is the code repo of our Pattern Recognition journal on IPR protection of Image Captioning Models☆11Aug 29, 2023Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Oct 24, 2022Updated 3 years ago
- [BMVC 2023 (Oral)] Official pytorch implementation of the paper: "Unsupervised Hashing with Similarity Distribution Calibration"☆23Sep 17, 2023Updated 2 years ago
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 3 years ago
- The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)☆25Jun 2, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Image captioning with weight pruning in PyTorch☆22Jan 14, 2022Updated 4 years ago
- Simple dapp for Ethereum☆14Sep 2, 2021Updated 4 years ago
- code for AAAI accepted paper Similarity Distribution based Membership Inference Attack on Person Re-Identification.☆11Sep 29, 2024Updated last year
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Aug 22, 2023Updated 2 years ago
- A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification☆13Feb 15, 2024Updated 2 years ago
- ☆10Jul 11, 2022Updated 3 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆15Oct 13, 2023Updated 2 years ago
- ☆14Apr 26, 2022Updated 3 years ago
- ☆10Mar 20, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Jan 18, 2023Updated 3 years ago
- ☆16Sep 8, 2021Updated 4 years ago
- pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing☆11Aug 19, 2021Updated 4 years ago
- 基于qt的文件共享系统，类似百度网盘☆14Apr 10, 2019Updated 6 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
- Experiments with noisy labels, to se the accuracy of classification under noise, effects of active learning, etc☆13Oct 1, 2017Updated 8 years ago
- ☆24Dec 4, 2023Updated 2 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The official implementation codes of greedy residuals for the paper Watermarking Deep Neural Networks with Greedy Residuals (ICML 2021).☆24May 21, 2022Updated 3 years ago
- A re-implementation of T-GNN, a framework for pedestrian trajectory prediction that addresses the performance decrease caused by distribu…☆15Jul 4, 2023Updated 2 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- Code for "Neural Tangent Generalization Attacks" (ICML 2021)☆41Jul 29, 2021Updated 4 years ago
- ☆11Mar 5, 2021Updated 5 years ago
- Removing Adversarial Noise in Class Activation Feature Space☆14Oct 12, 2023Updated 2 years ago
- A curated list of awesome privacy preserving machine learning resources☆14May 17, 2020Updated 5 years ago
- Manage ML configuration with pydantic☆16Mar 18, 2026Updated last week
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 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.
- The code for our Updates-Leak paper☆17Jul 23, 2020Updated 5 years ago
- ☆11Mar 31, 2022Updated 4 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
- This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".☆15Mar 10, 2023Updated 3 years ago
- This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False…☆14Aug 8, 2020Updated 5 years ago
- CV工具集合☆22Jul 6, 2020Updated 5 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 3 years ago