Giulio Zizzo
Orcid: 0009-0004-5750-5744
According to our database1,
Giulio Zizzo
authored at least 31 papers
between 2017 and 2024.
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Bibliography
2024
HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment.
CoRR, 2024
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems.
CoRR, 2024
Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs.
CoRR, 2024
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.
CoRR, 2024
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing.
CoRR, 2024
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.
CoRR, 2024
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation.
CoRR, 2024
CoRR, 2024
Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing.
IEEE Access, 2024
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024
Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
2023
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience.
CoRR, 2023
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.
CoRR, 2023
A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023
Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Federated Learning, 2022
2021
2020
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems.
Proceedings of the 19th IEEE International Conference on Trust, 2020
2019
Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks.
CoRR, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
2018
Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018
2017
Sensors, 2017