Giulio Zizzo - RankMe

49 papers A* 1B 3C 1Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Blue Teaming Function-Calling Agents. CoRR Greta Dolcetti, Giulio Zizzo, Sergio Maffeis
2025	J	`jnl`	Activated LoRA: Fine-tuned LLMs for Intrinsics. CoRR Kristjan H. Greenewald, Luis A. Lastras, Thomas Parnell, Vraj Shah, Lucian Popa, Giulio Zizzo, R. Chulaka Gunasekara, Ambrish Rawat, David Cox
2025	J	`jnl`	Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs. CoRR Giulio Zizzo, Giandomenico Cornacchia, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Beat Buesser, Mark Purcell, Pin-Yu Chen, Prasanna Sattigeri, Kush R. Varshney
2025	J	`jnl`	Assessing the impact of packing on static machine learning-based malware detection and classification systems. Comput. Secur. Daniel Gibert, Nikolaos Totosis, Constantinos Patsakis, Quan Le, Giulio Zizzo
2025	J	`jnl`	Dynamic Features Adaptation in Networking: Toward Flexible training and Explainable inference. CoRR Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, Merim Dzaferagic, John D. Kelleher
2025	—	`conf`	Granite Guardian: Comprehensive LLM Safeguarding. NAACL (Industry Track) Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2025	J	`jnl`	MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming. CoRR Stefan Schoepf, Muhammad Zaid Hameed, Ambrish Rawat, Kieran Fraser, Giulio Zizzo, Giandomenico Cornacchia, Mark Purcell
2025	J	`jnl`	Pre-Hoc Predictions in AutoML: Leveraging LLMs to Enhance Model Selection and Benchmarking for Tabular datasets. CoRR Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, Sachin Sharma, John D. Kelleher
2025	J	`jnl`	Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring. CoRR Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, John D. Kelleher
2025	C	`conf`	Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators. BDCAT Simone Bottoni, Giulio Zizzo, Stefano Braghin, Alberto Trombetta
2025	J	`jnl`	Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators. CoRR Simone Bottoni, Giulio Zizzo, Stefano Braghin, Alberto Trombetta
2024	J	`jnl`	A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
2024	J	`jnl`	Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing. IEEE Access Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
2024	J	`jnl`	Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems. CoRR Daniel Gibert, Nikolaos Totosis, Constantinos Patsakis, Giulio Zizzo, Quan Le
2024	—	`conf`	Assuring Compliance of LLMs with EUAIA Robustness Demands. Wirtschaftsinformatik Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta
2024	J	`jnl`	Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. CoRR Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney
2024	J	`jnl`	Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio
2024	—	`conf`	Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs. ISSRE (Workshops) Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell
2024	J	`jnl`	Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs. CoRR Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell
2024	J	`jnl`	Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation. CoRR Janvi Thakkar, Giulio Zizzo, Sergio Maffeis
2024	J	`jnl`	Domain Adaptation for Time series Transformers using One-step fine-tuning. CoRR Subina Khanal, Seshu Tirupathi, Giulio Zizzo, Ambrish Rawat, Torben Bach Pedersen
2024	J	`jnl`	Granite Guardian. CoRR Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martin Santillan Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024	J	`jnl`	HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment. CoRR Yannis Belkhiter, Giulio Zizzo, Sergio Maffeis
2024	J	`jnl`	Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs. CoRR Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell
2024	—	`conf`	MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks. AIES (1) Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell
2024	J	`jnl`	MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks. CoRR Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell
2024	—	`conf`	Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation. xAI (Late-breaking Work, Demos, Doctoral Consortium) Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta
2024	J	`jnl`	Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation. CoRR Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta
2024	J	`jnl`	Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs. CoRR Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta
2023	—	`conf`	A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. EuroS&P Workshops Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
2023	—	`conf`	Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS Daniel Gibert, Giulio Zizzo, Quan Le
2023	J	`jnl`	Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience. CoRR Janvi Thakkar, Giulio Zizzo, Sergio Maffeis
2023	—	`conf`	Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. ACL (1) Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
2023	J	`jnl`	Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. CoRR Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
2023	J	`jnl`	Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. CoRR Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
2023	—	`conf`	Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. ESORICS Workshops (2) Daniel Gibert, Giulio Zizzo, Quan Le
2023	J	`jnl`	Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. CoRR Daniel Gibert, Giulio Zizzo, Quan Le
2022	B	`conf`	Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. IEEE Big Data Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muñiz-Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis
2022	—	`conf`	Robust Learning Protocol for Federated Tumor Segmentation Challenge. BrainLes@MICCAI (2) Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin
2022	J	`jnl`	Robust Learning Protocol for Federated Tumor Segmentation Challenge. CoRR Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin
2022	—	`ch.`	Security and Robustness in Federated Learning. Federated Learning Ambrish Rawat, Giulio Zizzo, Muhammad Zaid Hameed, Luis Muñoz-González
2021	J	`jnl`	Certified Federated Adversarial Training. CoRR Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Sergio Maffeis, Chris Hankin
2020	B	`conf`	Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems. TrustCom Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones
2020	J	`jnl`	FAT: Federated Adversarial Training. CoRR Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser
2019	A*	`conf`	Adversarial Machine Learning Beyond the Image Domain. DAC Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones
2019	J	`jnl`	Deep Latent Defence. CoRR Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones
2019	J	`jnl`	Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks. CoRR Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones
2018	B	`conf`	CPS-MT: A Real-Time Cyber-Physical System Monitoring Tool for Security Research. RTCSA Martín Barrère, Chris Hankin, Angelo Barboni, Giulio Zizzo, Francesca Boem, Sergio Maffeis, Thomas Parisini
2017	J	`jnl`	Position Tracking During Human Walking Using an Integrated Wearable Sensing System. Sensors Giulio Zizzo, Lei Ren