ADVENT: Attack/Anomaly Detection in VANETs
Authors: Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood | Published: 2024-01-16
データセット生成
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
Authors: Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang | Published: 2024-01-01
Anticipated Network Surveillance — An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
Authors: Aviral Srivastava, Dhyan Thakkar, Sharda Valiveti, Pooja Shah, Gaurang Raval | Published: 2023-12-27
An Approach to Abstract Multi-stage Cyberattack Data Generation for ML-Based IDS in Smart Grids
Authors: Ömer Sen, Philipp Malskorn, Simon Glomb, Immanuel Hacker, Martin Henze, Andreas Ulbig | Published: 2023-12-21
Traces of Memorisation in Large Language Models for Code
Authors: Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen | Published: 2023-12-18 | Updated: 2024-01-15
Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
Authors: Amaal F. Alshmarni, Mohammed A. Alliheedi | Published: 2023-11-07
From Chatbots to PhishBots? — Preventing Phishing scams created using ChatGPT, Google Bard and Claude
Authors: Sayak Saha Roy, Poojitha Thota, Krishna Vamsi Naragam, Shirin Nilizadeh | Published: 2023-10-29 | Updated: 2024-03-10
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
Authors: Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun | Published: 2023-10-18 | Updated: 2024-03-05
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers
Authors: Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt | Published: 2023-10-18
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection
Authors: Rahul Vishwakarma, Amin Rezaei | Published: 2023-10-14