Dario Pasquini

31 papers A* 8Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LLMmap: Fingerprinting for Large Language Models. USENIX Security Symposium Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese
2025	J	`jnl`	When AIOps Become "AI Oops": Subverting LLM-driven IT Operations via Telemetry Manipulation. CoRR Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese, Omer Akgul, Athanasios Theocharis, Petros Efstathopoulos
2024	A*	`conf`	Breach Extraction Attacks: Exposing and Addressing the Leakage in Second Generation Compromised Credential Checking Services. SP Dario Pasquini, Danilo Francati, Giuseppe Ateniese, Evgenios M. Kornaropoulos
2024	J	`jnl`	Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks. CoRR Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese
2024	J	`jnl`	LLMmap: Fingerprinting For Large Language Models. CoRR Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese
2024	—	`conf`	Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks. AISec@CCS Dario Pasquini, Martin Strohmeier, Carmela Troncoso
2024	J	`jnl`	Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks. CoRR Dario Pasquini, Martin Strohmeier, Carmela Troncoso
2024	A*	`conf`	Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data. SP Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso
2023	J	`jnl`	Breach Extraction Attacks: Exposing and Addressing the Leakage in Second Generation Compromised Credential Checking Services. IACR Cryptol. ePrint Arch. Dario Pasquini, Danilo Francati, Giuseppe Ateniese, Evgenios M. Kornaropoulos
2023	J	`jnl`	Can Decentralized Learning be more robust than Federated Learning? CoRR Mathilde Raynal, Dario Pasquini, Carmela Troncoso
2023	A*	`conf`	On the (In)security of Peer-to-Peer Decentralized Machine Learning. SP Dario Pasquini, Mathilde Raynal, Carmela Troncoso
2023	J	`jnl`	Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data. CoRR Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso
2023	—	`conf`	Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning. SP (Workshops) Etienne Salimbeni, Nina Mainusch, Dario Pasquini
2023	J	`jnl`	Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning. CoRR Etienne Salimbeni, Nina Mainusch, Dario Pasquini
2022	A*	`conf`	Eluding Secure Aggregation in Federated Learning via Model Inconsistency. CCS Dario Pasquini, Danilo Francati, Giuseppe Ateniese
2022	J	`jnl`	On the Privacy of Decentralized Machine Learning. CoRR Dario Pasquini, Mathilde Raynal, Carmela Troncoso
2021	J	`jnl`	Eluding Secure Aggregation in Federated Learning via Model Inconsistency. CoRR Dario Pasquini, Danilo Francati, Giuseppe Ateniese
2021	—	`—`	Enabling secure passwords via Deep Learning: Towards a new generation of attacks and defenses. Dario Pasquini
2021	A*	`conf`	Improving Password Guessing via Representation Learning. SP Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti
2021	A*	`conf`	Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries. USENIX Security Symposium Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi
2021	A*	`conf`	Unleashing the Tiger: Inference Attacks on Split Learning. CCS Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
2020	J	`jnl`	AMG based on compatible weighted matching for GPUs. Parallel Comput. Massimo Bernaschi, Pasqua D'Ambra, Dario Pasquini
2020	J	`jnl`	BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs. Softw. Impacts Massimo Bernaschi, Pasqua D'Ambra, Dario Pasquini
2020	—	`conf`	Interpretable Probabilistic Password Strength Meters via Deep Learning. ESORICS (1) Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
2020	J	`jnl`	Interpretable Probabilistic Password Strength Meters via Deep Learning. CoRR Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
2020	J	`jnl`	Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries. CoRR Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi
2020	J	`jnl`	Unleashing the Tiger: Inference Attacks on Split Learning. CoRR Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
2019	—	`conf`	Adversarial Out-domain Examples for Generative Models. EuroS&P Workshops Dario Pasquini, Marco Mingione, Massimo Bernaschi
2019	J	`jnl`	Improving Password Guessing via Representation Learning. CoRR Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti
2019	J	`jnl`	Improving Password Guessing via Representation Learning. IACR Cryptol. ePrint Arch. Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti
2019	J	`jnl`	Out-domain examples for generative models. CoRR Dario Pasquini, Marco Mingione, Massimo Bernaschi