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Pietro Liguori
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2020 – today
- 2025
- [j9]Cristina Improta
, Pietro Liguori
Enhancing robustness of AI offensive code generators via data augmentation. Empir. Softw. Eng. 30(1): 7 (2025) - [j8]Domenico Cotroneo, Roberta De Luca
DeVAIC: A tool for security assessment of AI-generated code. Inf. Softw. Technol. 177: 107572 (2025) - 2024
- [j7]Roberto Natella
AI Code Generators for Security: Friend or Foe? IEEE Secur. Priv. 22(5): 73-81 (2024) - [j6]Domenico Cotroneo, Alessio Foggia, Cristina Improta
Automating the correctness assessment of AI-generated code for security contexts. J. Syst. Softw. 216: 112113 (2024) - [c15]Simona De Vivo, Islam Obaidat, Dong Dai, Pietro Liguori:
DDoShield-IoT: A Testbed for Simulating and Lightweight Detection of IoT Botnet DDoS Attacks. DSN-W 2024: 1-8 - [c14]Domenico Cotroneo, Pietro Liguori:
Neural Fault Injection: Generating Software Faults from Natural Language. DSN-S 2024: 23-27 - [c13]Pietro Liguori, Cristina Improta, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Enhancing AI-based Generation of Software Exploits with Contextual Information. ISSRE 2024: 180-191 - [c12]Domenico Cotroneo
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks. ICPC 2024: 280-292 - [c11]Pietro Liguori, Christian Marescalco, Roberto Natella, Vittorio Orbinato, Luciano Pianese:
The Power of Words: Generating PowerShell Attacks from Natural Language. WOOT @ USENIX Security Symposium 2024: 27-43 - [i21]Roberto Natella, Pietro Liguori, Cristina Improta, Bojan Cukic, Domenico Cotroneo:
AI Code Generators for Security: Friend or Foe? CoRR abs/2402.01219 (2024) - [i20]Domenico Cotroneo, Pietro Liguori:
Neural Fault Injection: Generating Software Faults from Natural Language. CoRR abs/2404.07491 (2024) - [i19]Domenico Cotroneo, Roberta De Luca, Pietro Liguori:
DeVAIC: A Tool for Security Assessment of AI-generated Code. CoRR abs/2404.07548 (2024) - [i18]Pietro Liguori, Christian Marescalco, Roberto Natella, Vittorio Orbinato, Luciano Pianese:
The Power of Words: Generating PowerShell Attacks from Natural Language. CoRR abs/2404.12893 (2024) - [i17]Pietro Liguori, Cristina Improta, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Enhancing AI-based Generation of Software Exploits with Contextual Information. CoRR abs/2408.02402 (2024) - 2023
- [j5]Pietro Liguori
Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators. Expert Syst. Appl. 225: 120073 (2023) - [j4]Domenico Cotroneo, Luigi De Simone
Run-time failure detection via non-intrusive event analysis in a large-scale cloud computing platform. J. Syst. Softw. 198: 111611 (2023) - [c10]Simona De Vivo, Pietro Liguori
Simulation Environment for the Evaluation of Lightweight Intrusion Detection Systems. ISSREW 2023: 132-135 - [i16]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
Run-time Failure Detection via Non-intrusive Event Analysis in a Large-Scale Cloud Computing Platform. CoRR abs/2301.07422 (2023) - [i15]Cristina Improta, Pietro Liguori, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Enhancing Robustness of AI Offensive Code Generators via Data Augmentation. CoRR abs/2306.05079 (2023) - [i14]Domenico Cotroneo, Cristina Improta, Pietro Liguori, Roberto Natella:
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks. CoRR abs/2308.04451 (2023) - [i13]Domenico Cotroneo, Alessio Foggia, Cristina Improta, Pietro Liguori, Roberto Natella:
Automating the Correctness Assessment of AI-generated Code for Security Contexts. CoRR abs/2310.18834 (2023) - 2022
- [j3]Pietro Liguori
Can we generate shellcodes via natural language? An empirical study. Autom. Softw. Eng. 29(1): 30 (2022) - [j2]Domenico Cotroneo
Fault Injection Analytics: A Novel Approach to Discover Failure Modes in Cloud-Computing Systems. IEEE Trans. Dependable Secur. Comput. 19(3): 1476-1491 (2022) - [c9]Pietro Liguori
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation. NLBSE 2022: 59-66 - [i12]Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh:
Can We Generate Shellcodes via Natural Language? An Empirical Study. CoRR abs/2202.03755 (2022) - [i11]Pietro Liguori, Cristina Improta, Simona De Vivo, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation. CoRR abs/2203.15319 (2022) - [i10]Cristina Improta, Pietro Liguori, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators. CoRR abs/2212.06008 (2022) - 2021
- [j1]Domenico Cotroneo, Luigi De Simone
Enhancing the analysis of software failures in cloud computing systems with deep learning. J. Syst. Softw. 181: 111043 (2021) - [c8]Pietro Liguori
EVIL: Exploiting Software via Natural Language. ISSRE 2021: 321-332 - [c7]Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. SII 2021: 590-591 - [i9]Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. CoRR abs/2102.10709 (2021) - [i8]Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh:
Shellcode_IA32: A Dataset for Automatic Shellcode Generation. CoRR abs/2104.13100 (2021) - [i7]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning. CoRR abs/2106.15182 (2021) - [i6]Pietro Liguori, Erfan Al-Hossami, Vittorio Orbinato, Roberto Natella, Samira Shaikh, Domenico Cotroneo, Bojan Cukic:
EVIL: Exploiting Software via Natural Language. CoRR abs/2109.00279 (2021) - 2020
- [c6]Domenico Cotroneo, Luigi De Simone
ProFIPy: Programmable Software Fault Injection as-a-Service. DSN 2020: 364-372 - [c5]Domenico Cotroneo, Luigi De Simone
Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures. ICSOC Workshops 2020: 162-175 - [i5]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
ProFIPy: Programmable Software Fault Injection as-a-Service. CoRR abs/2005.04990 (2020) - [i4]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
Fault Injection Analytics: A Novel Approach to Discover Failure Modes in Cloud-Computing Systems. CoRR abs/2010.00331 (2020) - [i3]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella, Angela Scibelli:
Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures. CoRR abs/2010.06607 (2020)
2010 – 2019
- 2019
- [c4]Domenico Cotroneo, Luigi De Simone
FailViz: A Tool for Visualizing Fault Injection Experiments in Distributed Systems. EDCC 2019: 145-148 - [c3]Domenico Cotroneo, Luigi De Simone
Enhancing Failure Propagation Analysis in Cloud Computing Systems. ISSRE 2019: 139-150 - [c2]Domenico Cotroneo, Luigi De Simone
How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform. ESEC/SIGSOFT FSE 2019: 200-211 - [i2]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella, Nematollah Bidokhti:
How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform. CoRR abs/1907.04055 (2019) - [i1]Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella, Nematollah Bidokhti:
Enhancing Failure Propagation Analysis in Cloud Computing Systems. CoRR abs/1908.11640 (2019) - 2018
- [c1]Domenico Cotroneo, Luigi De Simone
Enhancing the Analysis of Error Propagation and Failure Modes in Cloud Systems. ISSRE Workshops 2018: 140-141
Coauthor Index
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