Daniel Lehmann
Artificial Intelligence · 2014
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
- Artificial Intelligence — 10 citations into it
Whom Daniel Lehmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel Lehmann's perspective
Ordered by how strongly the researchers Daniel Lehmann trusts endorse each paper. Same corpus, a different order for every researcher.
- When good instructions go bad: generalizing return-oriented programming to RISC (Conference on Computer and Communications Security)
- Return-oriented programming without returns (Conference on Computer and Communications Security)
- Just-In-Time Code Reuse: On the Effectiveness of Fine-Grained Address Space Layout Randomization (IEEE Symposium on Security and Privacy)
- HyperSafe: A Lightweight Approach to Provide Lifetime Hypervisor Control-Flow Integrity (IEEE Symposium on Security and Privacy)
- Practical Control Flow Integrity and Randomization for Binary Executables (IEEE Symposium on Security and Privacy)
- Control Flow Integrity for COTS Binaries (USENIX Security Symposium)
- ROP is Still Dangerous: Breaking Modern Defenses (USENIX Security Symposium)
- Out of Control: Overcoming Control-Flow Integrity (IEEE Symposium on Security and Privacy)
- Control-flow integrity principles, implementations, and applications (TSEC)
- ROPecker: A Generic and Practical Approach For Defending Against ROP Attacks (Network and Distributed System Security Symposium)