Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
Authors: Charles Jin, Melinda Sun, Martin Rinard | Published: 2021-05-08 | Updated: 2023-04-27
Literature Database
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Authors: Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu | Published: 2021-05-08
Blockchain Systems, Technologies and Applications: A Methodology Perspective
Authors: Bin Cao, Zixin Wang, Long Zhang, Daquan Feng, Mugen Peng, Lei Zhang | Published: 2021-05-08
Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers
Authors: Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri | Published: 2021-05-07
Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
Authors: Zeki Bilgin | Published: 2021-05-07
Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case with ROP Payload Detection
Authors: Haizhou Wang, Peng Liu | Published: 2021-05-06
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Authors: Matthew Watson, Noura Al Moubayed | Published: 2021-05-05
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Authors: Qiao Zhang, Chunsheng Xin, Hongyi Wu | Published: 2021-05-05
An Overview of Laser Injection against Embedded Neural Network Models
Authors: Mathieu Dumont, Pierre-Alain Moellic, Raphael Viera, Jean-Max Dutertre, Rémi Bernhard | Published: 2021-05-04
A Review of Confidentiality Threats Against Embedded Neural Network Models
Authors: Raphaël Joud, Pierre-Alain Moellic, Rémi Bernhard, Jean-Baptiste Rigaud | Published: 2021-05-04