Data Generation

Generating Semantic Adversarial Examples via Feature Manipulation

Authors: Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen | Published: 2020-01-06 | Updated: 2022-05-20
Data Generation
Adversarial Example
Adversarial Learning

Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker

Authors: Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer | Published: 2019-12-19
Data Generation
Model Design
Model Communication

MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking

Authors: Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer | Published: 2019-12-16 | Updated: 2020-04-30
Data Generation
Robustness
Performance Evaluation Metrics

DAmageNet: A Universal Adversarial Dataset

Authors: Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun | Published: 2019-12-16
Data Generation
Robustness
Deep Learning Method

Pseudo Random Number Generation: a Reinforcement Learning approach

Authors: Luca Pasqualini, Maurizio Parton | Published: 2019-12-15
Data Generation
Reward Mechanism Design
Deep Reinforcement Learning

Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques

Authors: Ibrahim Yilmaz, Rahat Masum | Published: 2019-12-10
Data Generation
Performance Evaluation Metrics
Machine Learning Technology

Hardening Random Forest Cyber Detectors Against Adversarial Attacks

Authors: Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti | Published: 2019-12-09
Data Generation
Robustness
Adversarial Example

A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks

Authors: Prithviraj Dasgupta, Joseph B. Collins | Published: 2019-12-04
Data Generation
Vulnerability of Adversarial Examples
Adversarial Transferability

DeepWiFi: Cognitive WiFi with Deep Learning

Authors: Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu | Published: 2019-10-29
Simulation Environment
Data Generation
Protocol Procedure

DaiMoN: A Decentralized Artificial Intelligence Model Network

Authors: Surat Teerapittayanon, H. T. Kung | Published: 2019-07-19
Data Generation
Blockchain Integration
Machine Learning Technology