Speculative Control Flow

Speculative Control Flow is a control-flow analysis method that extends traditional static analysis by predicting and exploring potential execution paths based on inferred or hypothesized program behaviors, rather than solely on statically verifiable control dependencies.

67

Publications

3.3K

Citations

171

Authors

75

Institutions

Publications per year

2017–2026

19

Authors

171

  1. JF
    Jason Flinn

    University of Michigan, United States

    3 publications · 146 citations

    3

    h-index

  2. CD
    Chen Ding

    University of Rochester, United States

    3 publications · 237 citations

    3

    h-index

  3. RH
    Ruke Huang

    University of Rochester, United States

    2 publications · 213 citations

    2

    h-index

  4. ZP
    Zach Purser

    North Carolina State University, United States

    2 publications · 476 citations

    2

    h-index

  5. AR
    Anand Raghunathan

    Princeton University, United States

    2 publications · 65 citations

    2

    h-index

1–5 of 171

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 101 citations

    4

    h-index

  2. ACM SIGPLAN Notices

    2 publications · 311 citations

    2

    h-index

  3. IEEE Computer Architecture Letters

    1 publications · 14 citations

    1

    h-index

  4. 2022 IEEE Symposium on Security and Privacy (SP)

    Conference · 1 publications · 25 citations

    1

    h-index

  5. International Conference on Distributed Computing Systems

    Conference · 1 publications · 13 citations

    1

    h-index

1–5