Research Methodology

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet

Authors: Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang | Published: 2020-01-16 | Updated: 2020-10-21
Adversarial Learning
Adversarial Attack Detection
Research Methodology

An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense

Authors: Chao Tang, Yifei Fan, Anthony Yezzi | Published: 2019-11-26
Poisoning
Adversarial Example
Research Methodology

Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data

Authors: Ehsan Aghaei, Gursel Serpen | Published: 2019-11-25
Model Performance Evaluation
Deep Learning-Based IDS
Research Methodology

Adversarial Attack with Pattern Replacement

Authors: Ziang Dong, Liang Mao, Shiliang Sun | Published: 2019-11-25
Model Design
Adversarial Attack Methods
Research Methodology

Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference

Authors: Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa | Published: 2019-11-23
Model Design
Adversarial Attack Methods
Research Methodology

Universal adversarial examples in speech command classification

Authors: Jon Vadillo, Roberto Santana | Published: 2019-11-22 | Updated: 2021-02-13
Adversarial Example
Adversarial Attack Methods
Research Methodology

Attack Agnostic Statistical Method for Adversarial Detection

Authors: Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas Kruthiventi, Harikrishna Muralidhara | Published: 2019-11-22
Adversarial Example
Adversarial attack
Research Methodology

Optimal Explanations of Linear Models

Authors: Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin | Published: 2019-07-08
Model Selection
Research Methodology
loss of Interpretability

Capacity Bounded Differential Privacy

Authors: Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala | Published: 2019-07-03
Privacy Protection
Information Gathering Methods
Research Methodology

Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts

Authors: Xiaoyu Du, Mark Scanlon | Published: 2019-07-02
Data Extraction and Analysis
Machine Learning Framework
Research Methodology