default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDario Pasquini
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c11]Dario Pasquini
, Martin Strohmeier, Carmela Troncoso:
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks. AISec@CCS 2024: 89-100- [c10]Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso:
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data. SP 2024: 1365-1384 - [c9]Dario Pasquini, Danilo Francati, Giuseppe Ateniese, Evgenios M. Kornaropoulos:
Breach Extraction Attacks: Exposing and Addressing the Leakage in Second Generation Compromised Credential Checking Services. SP 2024: 1405-1423 - [i15]Dario Pasquini, Martin Strohmeier, Carmela Troncoso:
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks. CoRR abs/2403.03792 (2024) - [i14]Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese:
LLMmap: Fingerprinting For Large Language Models. CoRR abs/2407.15847 (2024) - [i13]Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese:
Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks. CoRR abs/2410.20911 (2024) - 2023
- [c8]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: 94-104 - [c7]Dario Pasquini, Mathilde Raynal, Carmela Troncoso:
On the (In)security of Peer-to-Peer Decentralized Machine Learning. SP 2023: 418-436 - [i12]Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso:
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data. CoRR abs/2301.07628 (2023) - [i11]Mathilde Raynal, Dario Pasquini, Carmela Troncoso:
Can Decentralized Learning be more robust than Federated Learning? CoRR abs/2303.03829 (2023) - [i10]Etienne Salimbeni, Nina Mainusch, Dario Pasquini:
Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning. CoRR abs/2306.08638 (2023) - [i9]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: 1848 (2023) - 2022
- [c6]Dario Pasquini, Danilo Francati, Giuseppe Ateniese:
Eluding Secure Aggregation in Federated Learning via Model Inconsistency. CCS 2022: 2429-2443 - [i8]Dario Pasquini, Mathilde Raynal, Carmela Troncoso:
On the Privacy of Decentralized Machine Learning. CoRR abs/2205.08443 (2022) - 2021
- [b1]Dario Pasquini:
Enabling secure passwords via Deep Learning: Towards a new generation of attacks and defenses. Sapienza University of Rome, Italy, 2021 - [c5]Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi:
Unleashing the Tiger: Inference Attacks on Split Learning. CCS 2021: 2113-2129 - [c4]Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti:
Improving Password Guessing via Representation Learning. SP 2021: 1382-1399 - [c3]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: 821-838 - [i7]Dario Pasquini, Danilo Francati, Giuseppe Ateniese:
Eluding Secure Aggregation in Federated Learning via Model Inconsistency. CoRR abs/2111.07380 (2021) - 2020
- [j2]Massimo Bernaschi, Pasqua D'Ambra, Dario Pasquini:
AMG based on compatible weighted matching for GPUs. Parallel Comput. 92: 102599 (2020) - [j1]Massimo Bernaschi, Pasqua D'Ambra, Dario Pasquini:
BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs. Softw. Impacts 6: 100041 (2020) - [c2]Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi:
Interpretable Probabilistic Password Strength Meters via Deep Learning. ESORICS (1) 2020: 502-522 - [i6]Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi:
Interpretable Probabilistic Password Strength Meters via Deep Learning. CoRR abs/2004.07179 (2020) - [i5]Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi:
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries. CoRR abs/2010.12269 (2020) - [i4]Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi:
Unleashing the Tiger: Inference Attacks on Split Learning. CoRR abs/2012.02670 (2020)
2010 – 2019
- 2019
- [c1]Dario Pasquini, Marco Mingione, Massimo Bernaschi:
Adversarial Out-domain Examples for Generative Models. EuroS&P Workshops 2019: 272-280 - [i3]Dario Pasquini, Marco Mingione, Massimo Bernaschi:
Out-domain examples for generative models. CoRR abs/1903.02926 (2019) - [i2]Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti:
Improving Password Guessing via Representation Learning. CoRR abs/1910.04232 (2019) - [i1]Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese, Massimo Bernaschi, Mauro Conti:
Improving Password Guessing via Representation Learning. IACR Cryptol. ePrint Arch. 2019: 1188 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 21:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
