LOGAN：Membership Inference Attacks Against Generative Models - 代码天地

LOGAN：Membership Inference Attacks Against Generative Models

企业开发 2023-04-07 08:52:39 阅读次数: 0

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转载自blog.csdn.net/WuwuwuH_/article/details/125841414

LOGAN：Membership Inference Attacks Against Generative Models

【论文阅读】Membership Inference Attacks Against Machine Learning Models

论文解析：Membership Inference Attacks Against Machine Learning Models（一看即懂）

DEFENSE-GAN: PROTECTING CLASSIFIERS AGAINST ADVERSARIAL ATTACKS USING GENERATIVE MODELS

论文那些事—DECISION-BASED ADVERSARIAL ATTACKS:RELIABLE ATTACKS AGAINST BLACK-BOX MACHINE LEARNING MODELS

【总结】Practical Black-Box Attacks against Machine Learning

Practical Black-Box Attacks against Machine Learning

（翻译）DBA: DISTRIBUTED BACKDOOR ATTACKS AGAINST FEDERATED LEARNING

【论文阅读】SABRE: Protecting Bitcoin against Routing Attacks

《CRFL:Certifiably Robust Federated Learning against Backdoor Attacks》

Generative Models(生成模型)简介

Semantic Image Inpainting with Deep Generative Models

Generative Models as a Data Source for Multiview Representation Learning

【总结】Robust physical-world attacks on deep learning models

Get a Model! Model Hijacking Attack Against Machine Learning Models

对抗样本之黑箱对抗：Practical Black-Box Attacks Against Machine Learning

Practical Black-Box Attacks against Machine Learning 论文阅读笔记

The security economics of large-scale attacks against Internet-connected ICS devices

【HGNN】AAAI 2022 RoHe Robust Heterogeneous Graph Neural Networks against Adversarial Attacks

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems 阅读笔记

A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks

闷头啃书 Computer vision models, learning and inference 【0】

[资源]Computer vision: models, learning and inference 免费分享

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Inference

《Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks》论文笔记

CS231n学习笔记--13. Generative Models

【CS231n】十三、生成模型（Generative Models）

CS231n Lecture 13 | Unsupervised Learning and Generative Models

CNN笔记（CS231N）——生成模型（Generative Models）

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