Dario Pasquini personal page

Status:

Researcher at RSAC Labs--"Semi-honest-model-unbeliever" seeking security and privacy measures that transcend trust, ideal assumptions, and heuristic security definitions (but, in reality, I spend most of my time either breaking ML models or building ML models to break stuff).
Working on:
- LLMs & agentic stuff sec. (yes, I know..)
- Privacy in Collaborative Machine Learning (I play for the good team; the red one..)
- Password Security ❤️

[USENIX Sec'25] Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese.
LLMmap: Fingerprinting For Large Language Models
[ACM AISec 24] Dario Pasquini, Martin Strohmeier, Carmela Troncoso.
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
[IEEE S&P'24] -- Dario Pasquini, Danilo Francati, Giuseppe Ateniese, Evgenios M. Kornaropoulos.
Breach Extraction Attacks: Exposing and Addressing the Leakage in Second Generation Compromised Credential Checking Services
[IEEE S&P'24] -- Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso.
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
[IEEE S&P'23] -- Dario Pasquini, Mathilde Raynal, Carmela Troncoso.
On the (In)security of Peer-to-Peer Decentralized Machine Learning
[ACM CCS'22] -- Dario Pasquini, Danilo Francati, Giuseppe Ateniese.
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
[ACM CCS'21] -- Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi.
Unleashing the Tiger: Inference Attacks on Split Learning
[USENIX Sec'21] -- Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi.
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries
[IEEE S&P'21] -- Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti.
Improving Password Guessing via Representation Learning