重み更新手法

ByzShield: An Efficient and Robust System for Distributed Training

Authors: Konstantinos Konstantinidis, Aditya Ramamoorthy | Published: 2020-10-10 | Updated: 2021-03-04
ビザンチン行動に対する具体的な対策
分散学習
重み更新手法

Anomaly detection with superexperts under delayed feedback

Authors: Raisa Dzhamtyrova, Carsten Maple | Published: 2020-10-08 | Updated: 2021-04-22
ゲーム理論
一般化性能
重み更新手法

Lipschitz Bounded Equilibrium Networks

Authors: Max Revay, Ruigang Wang, Ian R. Manchester | Published: 2020-10-05
ロバスト性に関する評価
深層学習
重み更新手法

Adversarial Training with Stochastic Weight Average

Authors: Joong-Won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae | Published: 2020-09-21
敵対的サンプル
敵対的訓練
重み更新手法

Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data

Authors: Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen | Published: 2020-09-17 | Updated: 2021-08-28
ビザンチン耐性
分散学習
重み更新手法

FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture

Authors: Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang | Published: 2020-03-20 | Updated: 2021-04-12
ロバスト性
脆弱性検出
重み更新手法

Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning

Authors: Bao Wang, Stanley J. Osher | Published: 2019-07-16
敵対的攻撃
深層学習手法
重み更新手法

FineFool: Fine Object Contour Attack via Attention

Authors: Jinyin Chen, Haibin Zheng, Hui Xiong, Mengmeng Su | Published: 2018-12-01
モデルの頑健性保証
効果的な摂動手法
重み更新手法

Analyzing Federated Learning through an Adversarial Lens

Authors: Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo | Published: 2018-11-29 | Updated: 2019-11-25
ポイズニング
連合学習
重み更新手法