AIセキュリティポータルbot

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
Adversarial Example
Adversarial Attack Methods
Adaptive Adversarial Training
2019.10.09 2025.05.28
Literature Database

Membership Model Inversion Attacks for Deep Networks

Authors: Samyadeep Basu, Rauf Izmailov, Chris Mesterharm | Published: 2019-10-09
Attack Evaluation
Attackers and Malicious Devices
Generative Adversarial Network
2019.10.09 2025.05.28
Literature Database

Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning

Authors: Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia | Published: 2019-10-09
Risk Assessment
Experimental Validation
Reinforcement Learning Environment
2019.10.09 2025.05.28
Literature Database

Deep Latent Defence

Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
Adversarial Example
Adversarial Attack Methods
Adaptive Adversarial Training
2019.10.09 2025.05.28
Literature Database

Adversarial Learning of Deepfakes in Accounting

Authors: Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth | Published: 2019-10-09
Data Integrity Constraints
Adversarial Attack Methods
Generative Adversarial Network
2019.10.09 2025.05.28
Literature Database

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
Attack Evaluation
Adversarial Example
Adversarial Attack Methods
2019.10.08 2025.05.28
Literature Database

Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications

Authors: Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari | Published: 2019-10-08
Model Design and Accuracy
Machine Learning Algorithm
Adaptive Adversarial Training
2019.10.08 2025.05.28
Literature Database

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
Backdoor Attack
Poisoning
Attack Evaluation
2019.10.08 2025.05.28
Literature Database

Sequence embeddings help to identify fraudulent cases in healthcare insurance

Authors: I. Fursov, A. Zaytsev, R. Khasyanov, M. Spindler, E. Burnaev | Published: 2019-10-07
Membership Inference
Machine Learning Algorithm
Feature Selection Method
2019.10.07 2025.05.28
Literature Database

Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces

Authors: Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis A. Kiani, Jesper Tegnér | Published: 2019-10-07 | Updated: 2019-10-08
Machine Learning Algorithm
Computational Complexity
Design Optimization Methods
2019.10.07 2025.05.28
Literature Database
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