Philip J. Guo

Artificial Intelligence · 2007–2015

A researcher in the Science corpus: 11 papers; trusts 16 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Philip J. Guo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Michael Bostock
  2. Gary Wassermann
  3. Patrice Godefroid
  4. P. Kennedy
  5. Zhendong Su
  6. Armin Biere
  7. Koushik Sen
  8. Vadim Ogievetsky
  9. René F. Kizilcec
  10. Jon M. Kleinberg

Who trusts Philip J. Guo overall

  1. Yizhou Qian
  2. Stephen MacNeil
  3. Zijie J. Wang
  4. James Lehman
  5. Andrew Tran
  6. Andrea Arcuri
  7. Robert Turko
  8. C. Brame
  9. Prateek Saxena
  10. René F. Kizilcec

Papers from Philip J. Guo's perspective

Ordered by how strongly the researchers Philip J. Guo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  2. Sound and precise analysis of web applications for injection vulnerabilities (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  3. Precise Analysis of String Expressions (Sensors Applications Symposium)
  4. EXE: automatically generating inputs of death
  5. Automated Whitebox Fuzz Testing (Network and Distributed System Security Symposium)
  6. Automatically Hardening Web Applications Using Precise Tainting (IFIP International Information Security Conference)
  7. Noxes: a client-side solution for mitigating cross-site scripting attacks (ACM Symposium on Applied Computing)
  8. Securing web application code by static analysis and runtime protection (The Web Conference)
  9. Extended static checking for Java (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  10. Defending Against Injection Attacks Through Context-Sensitive String Evaluation (International Symposium on Recent Advances in Intrusion Detection)

Their papers