文献データベース

Advances and Open Problems in Federated Learning

Authors: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao | Published: 2019-12-10 | Updated: 2021-03-09
セキュアアグリゲーション
プライバシー保護
ポイズニング

Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing

Authors: Anudit Nagar | Published: 2019-12-10
プライバシー保護
ブロックチェーン技術
モデル通信

Deep Learning Based Android Malware Detection Framework

Authors: Soumya Sourav, Devashish Khulbe, Naman Kapoor | Published: 2019-12-10
セキュリティラベル
悪意のあるウェブサイト検出
深層学習

Training Provably Robust Models by Polyhedral Envelope Regularization

Authors: Chen Liu, Mathieu Salzmann, Sabine Süsstrunk | Published: 2019-12-10 | Updated: 2021-09-20
ロバスト性
最適化問題
深層学習手法

Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques

Authors: Ibrahim Yilmaz, Rahat Masum | Published: 2019-12-10
データ生成
性能評価指標
機械学習技術

Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data

Authors: Itay Mosafi, Eli David, Nathan S. Netanyahu | Published: 2019-12-09
DNN IP保護手法
敵対的サンプル
深層学習手法

Machine Unlearning

Authors: Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot | Published: 2019-12-09 | Updated: 2020-12-15
プライバシー保護
機械学習の基礎
適応型再訓練メカニズム

Hardening Random Forest Cyber Detectors Against Adversarial Attacks

Authors: Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti | Published: 2019-12-09
データ生成
ロバスト性
敵対的サンプル

Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms

Authors: Guangxia Lia, Yulong Shena, Peilin Zhaob, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi | Published: 2019-12-08
攻撃検出
機械学習技術
産業制御システム

An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness

Authors: Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li | Published: 2019-12-07 | Updated: 2020-12-04
ロバスト性
損失関数
深層学習手法