Michael Franz

Artificial Intelligence · with Brunthaler · 2004–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Franz trusts

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

  1. Angelos Dennis Keromytis (in Artificial Intelligence)
  2. John Aycock (in Artificial Intelligence)
  3. Julian Seward (in Artificial Intelligence)
  4. Nicholas Nethercote (in Artificial Intelligence)
  5. Hovav Shacham (in Artificial Intelligence)

Papers from Michael Franz's perspective

Ordered by how strongly the researchers Michael Franz 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. Return-oriented programming without returns (Conference on Computer and Communications Security)
  3. On the effectiveness of address-space randomization (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. Smashing the Gadgets: Hindering Return-Oriented Programming Using In-place Code Randomization (IEEE Symposium on Security and Privacy)
  6. Binary stirring: self-randomizing instruction addresses of legacy x86 binary code (Conference on Computer and Communications Security)
  7. Countering code-injection attacks with instruction-set randomization (Conference on Computer and Communications Security)
  8. ILR: Where'd My Gadgets Go? (IEEE Symposium on Security and Privacy)
  9. Efficient Techniques for Comprehensive Protection from Memory Error Exploits (USENIX Security Symposium)
  10. Secure Execution via Program Shepherding (USENIX Security Symposium)

Their papers