Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
Authors: Marco Alecci, Mauro Conti, Francesco Marchiori, Luca Martinelli, Luca Pajola | Published: 2023-06-27
マルウェア分類
[Re] Double Sampling Randomized Smoothing
Authors: Aryan Gupta, Sarthak Gupta, Abhay Kumar, Harsh Dugar | Published: 2023-06-27
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
Authors: Yuanyuan Wei, Julian Jang-Jaccard, Amardeep Singh, Fariza Sabrina, Seyit Camtepe | Published: 2023-06-27
Steganographic Capacity of Deep Learning Models
Authors: Lei Zhang, Dong Li, Olha Jurečková, Mark Stamp | Published: 2023-06-25
Federated Learning Approach for Distributed Ransomware Analysis
Authors: Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno | Published: 2023-06-25
On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions
Authors: Reza Fayyazi, Shanchieh Jay Yang | Published: 2023-06-24 | Updated: 2023-08-22
Creating Valid Adversarial Examples of Malware
Authors: Matouš Kozák, Martin Jureček, Mark Stamp, Fabio Di Troia | Published: 2023-06-23
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Authors: Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Rahman, Atef Mohamed, Mohammad Rahman, Akond Rahman, Fan Wu | Published: 2023-06-01
A Survey on Malware Detection with Graph Representation Learning
Authors: Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui | Published: 2023-03-28 | Updated: 2023-08-17
Analysis, Detection, and Classification of Android Malware using System Calls
Authors: Shubham Shakya, Mayank Dave | Published: 2022-08-12