Change the repository type filter
All
Repositories list
37 repositories
DeVAIC
PublicDeVAIC (Detection of Vulnerabilities in AI-generated Code) is a tool that works on code snippets written in Python language with the aim of detecting vulnerabilities belonging to the OWASP categories listed in the Top 10 of 2021.ACCA
PublicPureEdgeSim
Public- This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publication at The 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024).
CTI-Document-Analyzer
Public- This repository contains the materials and scripts for the talk titled "Generative AI in Cybersecurity: Generating Offensive Code from Natural Language" by Pietro Liguori, University of Naples Federico II, DESSERT group. The talk is part of ARTISAN 2024: Summer School on the role and effects of ARTificial Intelligence in Secure ApplicatioNs.
violent-python
PublicLaccolith
Publictrain-ticket
Publiciris
PublicDeepSample
PublicDAIC
PublicSEEliDS
PublicShellcode_IA32
PublicShellcode_IA32 is a dataset consisting of challenging but common assembly instructions, collected from real shellcodes, with their natural language descriptions. The dataset can be used for neural machine translation tasks to automatically generate software exploits from natural language.- Tools to repeat the fault-injection experiments presented in the paper "How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform" (ESEC/FSE '19).
PySA2
Publick4.0s
Publiccti-to-mitre-with-nlp
PublicReplication package for the paper "Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study" published at the IEEE International Symposium on Software Reliability Engineering (ISSRE) 2022DevOpsTesting
PublicEVIL
PublicEVIL (Exploiting software VIa natural Language) is an approach to automatically generate software exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work.thorfi
Public- Failure dataset containing information on the events collected in the OpenStack cloud computing platform during three different campaigns of fault-injection experiments performed with three different workloads.
DeepEST
Public