Chao Zhang
Signal Processing · with Chen · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 17 citations into it
- Artificial Intelligence — 16 citations into it
- Hardware and Architecture — 10 citations into it
Whom Chao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hovav Shacham
- Zhi Wang
- Santosh Nagarakatte
- Vasilis Pappas
- Crispin Cowan
- Jason Hiser
- Patrice Godefroid
- Xuxian Jiang
- Kostya Serebryany
- Marcel Böhme
Who trusts Chao Zhang overall
- Lucas Davi
- Mingwei Zhang
- Zheng Leong Chua
- Enes Göktas
- Felix Schuster
- R. Sekar
- Volodymyr Kuznetsov
- Ahmad-Reza Sadeghi
- Nathan Burow
- Stephen E. McLaughlin
Papers from Chao Zhang's perspective
Ordered by how strongly the researchers Chao Zhang 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)
- Pin: building customized program analysis tools with dynamic instrumentation (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- ROPdefender: a detection tool to defend against return-oriented programming attacks (ACM Asia Conference on Computer and Communications Security)
- Preventing Memory Error Exploits with WIT (IEEE Symposium on Security and Privacy)
- Return-oriented programming without returns (Conference on Computer and Communications Security)
- On the effectiveness of address-space randomization (Conference on Computer and Communications Security)
- The geometry of innocent flesh on the bone: return-into-libc without function calls (on the x86) (Conference on Computer and Communications Security)
- Address Obfuscation: An Efficient Approach to Combat a Broad Range of Memory Error Exploits (USENIX Security Symposium)
- Securing software by enforcing data-flow integrity (USENIX Symposium on Operating Systems Design and Implementation)
- TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection (IEEE Symposium on Security and Privacy)
Their papers
- Practical Control Flow Integrity and Randomization for Binary Executables (2013) — 568 citations
- CollAFL: Path Sensitive Fuzzing (2018) — 435 citations