Peng Chen
Signal Processing · with Chen · 2018
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 11 citations into it; #2,443 of 7,572 by trust here, #4,750 by citations
- Software — 11 citations into it; #318 of 1,227 by trust here, #718 by citations
- Artificial Intelligence — 5 citations into it
Whom Peng Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrice Godefroid
- Cristian Cadar
- Vijay Ganesh
- Tielei Wang
- Sang Kil Cha
- Sanjay Rawat
- William Enck
- Koushik Sen
- Nils Klarlund
- Michael Y. Levin
Who trusts Peng Chen overall
- Cornelius Aschermann
- Xiaogang Zhu
- Andrea Fioraldi
- Junjie Wang
- Jingxuan He
- Insu Yun
- Wenbo Guo
- Bihuan Chen
- Sheng Wen
- Dominik Christian Maier
Papers from Peng Chen's perspective
Ordered by how strongly the researchers Peng Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- Taint-based directed whitebox fuzzing (2009 IEEE 31st International Conference on Software Engineering)
- Automated Whitebox Fuzz Testing (Network and Distributed System Security Symposium)
- TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection (IEEE Symposium on Security and Privacy)
- EXE: automatically generating inputs of death
- Unleashing Mayhem on Binary Code (IEEE Symposium on Security and Privacy)
- CUTE: a concolic unit testing engine for C (ESEC/FSE-13)
- Driller: Augmenting Fuzzing Through Selective Symbolic Execution (Network and Distributed System Security Symposium)
- KLEE: Unassisted and Automatic Generation of High-Coverage Tests for Complex Systems Programs
- Symbolic execution and program testing
Their papers
- Angora: Efficient Fuzzing by Principled Search (2018) — 634 citations