Yaohui Chen

Affiliations:
  • Facebook Inc., Menlo Park, CA, USA
  • Northeastern University, Boston, MA, USA (former)
  • Stony Brook University, New York, NY, USA (former)


According to our database1, Yaohui Chen authored at least 11 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

KUBO: Precise and Scalable Detection of User-triggerable Undefined Behavior Bugs in OS Kernel.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

HyperFuzzer: An Efficient Hybrid Fuzzer for Virtual CPUs.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
SAVIOR: Towards Bug-Driven Hybrid Testing.
Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing.
Proceedings of the 23rd International Symposium on Research in Attacks, 2020

2019
PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary.
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

2018
Compiler-Assisted Code Randomization.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

InstaGuard: Instantly Deployable Hot-patches for Vulnerable System Programs on Android.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

2017
NORAX: Enabling Execute-Only Memory for COTS Binaries on AArch64.
Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017

Secure Integration of Web Content and Applications on Commodity Mobile Operating Systems.
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016
Shreds: Fine-Grained Execution Units with Private Memory.
Proceedings of the IEEE Symposium on Security and Privacy, 2016


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