Dario Pasquini

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Weakly Supervised

Inverse Problems In Image Processing

Top Venues

IACR Cryptol. ePrint Arch.

IEEE Symposium on Security and Privacy

Publications

Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese
LLMmap: Fingerprinting For Large Language Models. CoRR (2024)
Dario Pasquini, Martin Strohmeier, Carmela Troncoso
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks. CoRR (2024)
Mathilde Raynal, Dario Pasquini, Carmela Troncoso
Can Decentralized Learning be more robust than Federated Learning? CoRR (2023)
Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data. CoRR (2023)
Dario Pasquini, Mathilde Raynal, Carmela Troncoso
On the (In)security of Peer-to-Peer Decentralized Machine Learning. SP (2023)
Dario Pasquini, Danilo Francati, Giuseppe Ateniese, Evgenios M. Kornaropoulos
Breach Extraction Attacks: Exposing and Addressing the Leakage in Second Generation Compromised Credential Checking Services. IACR Cryptol. ePrint Arch. 2023 (2023)
Etienne Salimbeni, Nina Mainusch, Dario Pasquini
Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning. SP Workshops (2023)
Etienne Salimbeni, Nina Mainusch, Dario Pasquini
Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning. CoRR (2023)
Dario Pasquini, Danilo Francati, Giuseppe Ateniese
Eluding Secure Aggregation in Federated Learning via Model Inconsistency. CCS (2022)
Dario Pasquini, Mathilde Raynal, Carmela Troncoso
On the Privacy of Decentralized Machine Learning. CoRR (2022)
Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti
Improving Password Guessing via Representation Learning. IEEE Symposium on Security and Privacy (2021)
Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries. USENIX Security Symposium (2021)
Dario Pasquini, Danilo Francati, Giuseppe Ateniese
Eluding Secure Aggregation in Federated Learning via Model Inconsistency. CoRR (2021)
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
Unleashing the Tiger: Inference Attacks on Split Learning. CCS (2021)
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
Interpretable Probabilistic Password Strength Meters via Deep Learning. CoRR (2020)
Massimo Bernaschi, Pasqua D'Ambra, Dario Pasquini
AMG based on compatible weighted matching for GPUs. Parallel Comput. 92 (2020)
Massimo Bernaschi, Pasqua D'Ambra, Dario Pasquini
BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs. Softw. Impacts 6 (2020)
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
Unleashing the Tiger: Inference Attacks on Split Learning. CoRR (2020)
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
Interpretable Probabilistic Password Strength Meters via Deep Learning. ESORICS (1) (2020)
Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries. CoRR (2020)
Dario Pasquini, Marco Mingione, Massimo Bernaschi
Adversarial Out-domain Examples for Generative Models. EuroS&P Workshops (2019)
Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti
Improving Password Guessing via Representation Learning. IACR Cryptol. ePrint Arch. 2019 (2019)
Dario Pasquini, Marco Mingione, Massimo Bernaschi
Out-domain examples for generative models. CoRR (2019)
Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti
Improving Password Guessing via Representation Learning. CoRR (2019)