Kevin Z. Snow

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Z. Snow trusts overall

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

  1. Sandeep Bhatkar
  2. Hovav Shacham
  3. Aurélien Francillon
  4. Emery D. Berger
  5. Zhi Wang
  6. Daniel C. DuVarney
  7. Vasilis Pappas
  8. Richard Wartell
  9. Jason Hiser
  10. Xuxian Jiang

Who trusts Kevin Z. Snow overall

  1. Nicholas Carlini
  2. Meng Xu
  3. Dmitry Evtyushkin
  4. Enes Göktas
  5. Taesoo Kim
  6. David A. Wagner
  7. Dmitry V. Ponomarev

Papers from Kevin Z. Snow's perspective

Ordered by how strongly the researchers Kevin Z. Snow trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Address Obfuscation: An Efficient Approach to Combat a Broad Range of Memory Error Exploits (USENIX Security Symposium)
  2. Countering code-injection attacks with instruction-set randomization (Conference on Computer and Communications Security)
  3. Return-oriented programming without returns (Conference on Computer and Communications Security)
  4. The geometry of innocent flesh on the bone: return-into-libc without function calls (on the x86) (Conference on Computer and Communications Security)
  5. Efficient Techniques for Comprehensive Protection from Memory Error Exploits (USENIX Security Symposium)
  6. Control-flow integrity principles, implementations, and applications (TSEC)
  7. Code injection attacks on harvard-architecture devices (Conference on Computer and Communications Security)
  8. Address Space Layout Permutation (ASLP): Towards Fine-Grained Randomization of Commodity Software (Asia-Pacific Computer Systems Architecture Conference)
  9. On the effectiveness of address-space randomization (Conference on Computer and Communications Security)
  10. DieHard: probabilistic memory safety for unsafe languages (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)

Their papers