文献データベース

Gazelle: A Low Latency Framework for Secure Neural Network Inference

Authors: Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan | Published: 2018-01-16
安全な算術計算
暗号化技術
透かし技術

Sparsity-based Defense against Adversarial Attacks on Linear Classifiers

Authors: Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-01-15 | Updated: 2018-06-19
スパース性防御
敵対的学習
敵対的攻撃

Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks

Authors: Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu | Published: 2018-01-15
ロバスト性向上手法
敵対的サンプル
敵対的攻撃検出

A3T: Adversarially Augmented Adversarial Training

Authors: Akram Erraqabi, Aristide Baratin, Yoshua Bengio, Simon Lacoste-Julien | Published: 2018-01-12
モデルの頑健性保証
ロバスト性向上手法
敵対的攻撃検出

Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks

Authors: Yongshuai Liu, Jiyu Chen, Hao Chen | Published: 2018-01-09 | Updated: 2018-12-08
モデルの頑健性保証
敵対的サンプル
敵対的攻撃検出

Fusion of ANN and SVM Classifiers for Network Attack Detection

Authors: Takwa Omrani, Adel Dallali, Bilgacem Chibani Rhaimi, Jaouhar Fattahi | Published: 2018-01-09 | Updated: 2018-01-10
MLベースのIDS
データ前処理
機械学習手法

Spatially Transformed Adversarial Examples

Authors: Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2018-01-09
ロバスト性向上手法
敵対的学習
敵対的攻撃検出

Generating Adversarial Examples with Adversarial Networks

Authors: Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2019-02-14
敵対的サンプル
敵対的学習
敵対的攻撃検出

Evaluation of Machine Learning Algorithms for Intrusion Detection System

Authors: Mohammad Almseidin, Maen Alzubi, Szilveszter Kovacs, Mouhammd Alkasassbeh | Published: 2018-01-08
MLベースのIDS
データ前処理
機械学習手法

HeNet: A Deep Learning Approach on Intel$^\circledR$ Processor Trace for Effective Exploit Detection

Authors: Li Chen, Salmin Sultana, Ravi Sahita | Published: 2018-01-08
マルチドメインデータ分析
動的解析手法
機械学習手法