dessertlab Goto Github PK

acca

Automating the Correctness Assessment of AI-generated Assembly Code for Security Contexts

bayesianreliabilityassessment

cti-document-analyzer

cti-to-mitre-with-nlp

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

daic

deepest

deepsample

devopstesting

emart

evil

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-openstack

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.

fantastic_beasts

The Fantastic Beasts Framework is a collection of tools for fuzzing the Android OS.

fault-injection-dataset

Failure dataset accompanying the paper "How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform"

generative-ai-cybersecurity

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.

iris

Repository linked to DSN 2023 paper "IRIS: a Record and Replay Framework to Enable Hardware-assisted Virtualization Fuzzing"

jssoftware_android_rejuvenation

This public repository includes raw data used in the experimental analysis provided in the article "Software Micro-Rejuvenation for Android Mobile Systems".

k4.0s

This repo refers to the paper "Introducing k4.0s: a Model for Mixed-Criticality Container Orchestration in Industry 4.0" @ ADSN 2022

laccolith

metrofunnel

Real-time monitoring of microservices based software systems

object_detection_aging

openstack-fault-injection-environment

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).

openstack-multi-tenant-workload

powershell-offensive-code-generation

powershell-offensive-code-generation-artifact

programmazione2-2020

pureedgesim

PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

pysa2

PySA2 is the Python Source-code Analyzer for Python 2.7 that exploits Python AST

seelids

shellcode_ia32

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.

targeted-data-poisoning-attacks

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).