文献データベース

Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification

Authors: Jungeum Kim, Xiao Wang | Published: 2022-05-20
ロバスト性評価
損失関数
敵対的サンプル

Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness

Authors: Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein | Published: 2022-05-20 | Updated: 2024-09-09
ロバスト性評価
敵対的サンプル
脅威モデル

SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning

Authors: Harsh Chaudhari, Matthew Jagielski, Alina Oprea | Published: 2022-05-20 | Updated: 2022-09-08
バックドア攻撃
メンバーシップ推論
ロバスト性評価

Focused Adversarial Attacks

Authors: Thomas Cilloni, Charles Walter, Charles Fleming | Published: 2022-05-19
DFLに対する攻撃手法
攻撃タイプ
敵対的サンプル

Differential Privacy: What is all the noise about?

Authors: Roxana Danger | Published: 2022-05-19
DP-SGD
プライバシー手法
ポイズニング

A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection

Authors: Dominik Kus, Eric Wagner, Jan Pennekamp, Konrad Wolsing, Ina Berenice Fink, Markus Dahlmanns, Klaus Wehrle, Martin Henze | Published: 2022-05-18
メンバーシップ推論
性能評価
攻撃検出

Adaptive Hybrid Heterogeneous IDS for 6LoWPAN

Authors: Aryan Mohammadi Pasikhani, John A Clark, Prosanta Gope | Published: 2022-05-18
オンライン意思決定
攻撃検出
適応型再訓練メカニズム

Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution

Authors: Zhixin Pan, Prabhat Mishra | Published: 2022-05-18
DFLに対する攻撃手法
バックドア攻撃
性能評価

SoK: The Impact of Unlabelled Data in Cyberthreat Detection

Authors: Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova | Published: 2022-05-18
データセット評価
メンバーシップ推論
性能評価

Lessons Learned: Defending Against Property Inference Attacks

Authors: Joshua Stock, Jens Wettlaufer, Daniel Demmler, Hannes Federrath | Published: 2022-05-18 | Updated: 2023-10-09
データ前処理
メンバーシップ推論
性能評価