文献データベース

Hear “No Evil”, See “Kenansville”: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems

Authors: Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia, Logan Blue, Kevin Warren, Anurag Swarnim Yadav, Tom Shrimpton, Patrick Traynor | Published: 2019-10-11
攻撃の評価
敵対的攻撃手法
音声認識技術

Defending Neural Backdoors via Generative Distribution Modeling

Authors: Ximing Qiao, Yukun Yang, Hai Li | Published: 2019-10-10 | Updated: 2019-11-06
バックドア攻撃
攻撃の評価
生成的敵対ネットワーク

Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system

Authors: Shixian Wen, Laurent Itti | Published: 2019-10-09
敵対的サンプル
敵対的攻撃手法
適応型敵対的訓練

Membership Model Inversion Attacks for Deep Networks

Authors: Samyadeep Basu, Rauf Izmailov, Chris Mesterharm | Published: 2019-10-09
攻撃の評価
攻撃者や悪意のあるデバイス
生成的敵対ネットワーク

Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning

Authors: Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia | Published: 2019-10-09
リスク評価
実験的検証
強化学習環境

Deep Latent Defence

Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
敵対的サンプル
敵対的攻撃手法
適応型敵対的訓練

Adversarial Learning of Deepfakes in Accounting

Authors: Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth | Published: 2019-10-09
データ整合性制約
敵対的攻撃手法
生成的敵対ネットワーク

SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations

Authors: Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-10-08
攻撃の評価
敵対的サンプル
敵対的攻撃手法

Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications

Authors: Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari | Published: 2019-10-08
モデルの設計や精度
機械学習アルゴリズム
適応型敵対的訓練

Detecting AI Trojans Using Meta Neural Analysis

Authors: Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li | Published: 2019-10-08 | Updated: 2020-10-01
バックドア攻撃
ポイズニング
攻撃の評価