Anh Nguyen-Tuong

Artificial Intelligence · 2005–2012

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Anh Nguyen-Tuong trusts overall

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

  1. James Newsome
  2. Sandeep Bhatkar
  3. Hovav Shacham
  4. Lucas Davi
  5. Erik Buchanan

Who trusts Anh Nguyen-Tuong overall

  1. Gary Wassermann
  2. Yichen Xie
  3. Nenad Jovanovic
  4. Wei Xu
  5. Vijay Ganesh
  6. Zhendong Su
  7. Adam Kiezun
  8. A. Aiken
  9. Christopher Krügel
  10. William G. J. Halfond

Papers from Anh Nguyen-Tuong's perspective

Ordered by how strongly the researchers Anh Nguyen-Tuong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. When good instructions go bad: generalizing return-oriented programming to RISC (Conference on Computer and Communications Security)
  2. Pin: building customized program analysis tools with dynamic instrumentation (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  3. On the effectiveness of address-space randomization (Conference on Computer and Communications Security)
  4. ROPdefender: a detection tool to defend against return-oriented programming attacks (ACM Asia Conference on Computer and Communications Security)
  5. Return-oriented programming without returns (Conference on Computer and Communications Security)
  6. Address Space Layout Permutation (ASLP): Towards Fine-Grained Randomization of Commodity Software (Asia-Pacific Computer Systems Architecture Conference)
  7. The geometry of innocent flesh on the bone: return-into-libc without function calls (on the x86) (Conference on Computer and Communications Security)
  8. Efficient Techniques for Comprehensive Protection from Memory Error Exploits (USENIX Security Symposium)
  9. Dynamo: a transparent dynamic optimization system (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  10. Address Obfuscation: An Efficient Approach to Combat a Broad Range of Memory Error Exploits (USENIX Security Symposium)

Their papers