dessertlab Goto Github PK
Name: DESSERT Research Lab (University of Naples Federico II, Italy)
Type: Organization
Name: DESSERT Research Lab (University of Naples Federico II, Italy)
Type: Organization
Automating the Correctness Assessment of AI-generated Assembly Code for Security Contexts
Replication 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) 2022
EVIL (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.
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.
The Fantastic Beasts Framework is a collection of tools for fuzzing the Android OS.
Failure dataset accompanying the paper "How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform"
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.
Repository linked to DSN 2023 paper "IRIS: a Record and Replay Framework to Enable Hardware-assisted Virtualization Fuzzing"
This public repository includes raw data used in the experimental analysis provided in the article "Software Micro-Rejuvenation for Android Mobile Systems".
This repo refers to the paper "Introducing k4.0s: a Model for Mixed-Criticality Container Orchestration in Industry 4.0" @ ADSN 2022
Real-time monitoring of microservices based software systems
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).
PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.
PySA2 is the Python Source-code Analyzer for Python 2.7 that exploits Python AST
Shellcode_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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.