Riccardo Scandariato
Artificial Intelligence · 2011–2023
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
Whom Riccardo Scandariato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sunghun Kim
- Stephan Neuhaus
- Thomas Zimmermann
- Pedro M. Domingos
- N. Nagappan
- E. James Jr. Whitehead
- M. McHugh
Who trusts Riccardo Scandariato overall
- Seyed Mohammad Ghaffarian
- Tien-Duy B. Le
- Guanjun Lin
- Hamid Reza Shahriari
- Mario Linares Vásquez
- Sheng Wen
Papers from Riccardo Scandariato's perspective
Ordered by how strongly the researchers Riccardo Scandariato trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting vulnerable software components (Conference on Computer and Communications Security)
- Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
- Handbook of Applied Cryptography
- Static analysis tools as early indicators of pre-release defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
- k-Anonymity: A Model for Protecting Privacy
- Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities (IEEE Transactions on Software Engineering)
- Software Security - Building Security In (Datenschutz und Datensicherheit)
- Tor: The Second-Generation Onion Router
- Private information retrieval
- Protocols for secure computations
Their papers
- A privacy threat analysis framework: supporting the elicitation and fulfillment of privacy requirements (2011) — 575 citations
- LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations (2023) — 118 citations
- Automating the early detection of security design flaws (2020) — 43 citations
- Predicting Vulnerable Software Components via Text Mining (2014) — 342 citations