Literature Database

Heterogeneous Graph Neural Networks for Malicious Account Detection

Authors: Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song | Published: 2020-02-27
Graph Neural Network
Graph Privacy
Machine Learning Method

Entangled Watermarks as a Defense against Model Extraction

Authors: Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot | Published: 2020-02-27 | Updated: 2021-02-19
DNN IP Protection Method
Robustness Evaluation
Defense Method

FMix: Enhancing Mixed Sample Data Augmentation

Authors: Ethan Harris, Antonia Marcu, Matthew Painter, Mahesan Niranjan, Adam Prügel-Bennett, Jonathon Hare | Published: 2020-02-27 | Updated: 2021-02-28
Training Method
Robustness Evaluation
Performance Evaluation

Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy

Authors: Aditya Saligrama, Guillaume Leclerc | Published: 2020-02-26
Robustness Evaluation
Performance Evaluation
Adversarial Training

IoT Device Identification Using Deep Learning

Authors: Jaidip Kotak, Yuval Elovici | Published: 2020-02-25
Data Management System
Performance Evaluation
Machine Learning Method

Gödel’s Sentence Is An Adversarial Example But Unsolvable

Authors: Xiaodong Qi, Lansheng Han | Published: 2020-02-25
Adversarial Example
Adversarial Training
Vulnerability Prediction

Towards Backdoor Attacks and Defense in Robust Machine Learning Models

Authors: Ezekiel Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay | Published: 2020-02-25 | Updated: 2023-01-11
Backdoor Attack
Poisoning
Robustness Evaluation

Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space

Authors: Camilo Pestana, Naveed Akhtar, Wei Liu, David Glance, Ajmal Mian | Published: 2020-02-25
Robustness Evaluation
Adversarial Learning
Defense Method

HYDRA: Pruning Adversarially Robust Neural Networks

Authors: Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana | Published: 2020-02-24 | Updated: 2020-11-10
Robustness Evaluation
Adversarial Training
Optimization Problem

Approximate Data Deletion from Machine Learning Models

Authors: Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou | Published: 2020-02-24 | Updated: 2021-02-23
Machine learning
Model Evaluation
Robustness Evaluation