Attack Techniques and Threat Identification for Vulnerabilities
Authors: Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta | Published: 2022-06-22
Vulnerability Analysis
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Authors: Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty | Published: 2022-05-05
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
Authors: David Hin, Andrey Kan, Huaming Chen, M. Ali Babar | Published: 2022-03-10 | Updated: 2022-03-25
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Authors: Huaming Chen, M. Ali Babar | Published: 2022-01-12 | Updated: 2023-12-17
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection
Authors: Talha Ongun, Oliver Spohngellert, Benjamin Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack Davidson, Malathi Veeraraghavan | Published: 2021-12-27 | Updated: 2022-05-24
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
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
Who’s Afraid of Adversarial Transferability?
Authors: Ziv Katzir, Yuval Elovici | Published: 2021-05-02 | Updated: 2022-10-06