Search Results - "Pernsteiner, Stuart"

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  1. 1

    Practical Verification of Safety-Critical Systems by Pernsteiner, Stuart

    Published 01-01-2018
    “…Software-based control systems operate scientific equipment worth millions of dollars and even safety-critical medical devices, making them good targets for…”
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    Dissertation
  2. 2

    Cheesecloth: Zero-Knowledge Proofs of Real-World Vulnerabilities by Cuéllar, Santiago, Harris, Bill, Parker, James, Pernsteiner, Stuart, Tromer, Eran

    Published 03-01-2023
    “…Currently, when a security analyst discovers a vulnerability in critical software system, they must navigate a fraught dilemma: immediately disclosing the…”
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    Journal Article
  3. 3

    Crust: A Bounded Verifier for Rust (N) by Toman, John, Pernsteiner, Stuart, Torlak, Emina

    “…Rust is a modern systems language that provides guaranteed memory safety through static analysis. However, Rust includes an escape hatch in the form of "unsafe…”
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    Conference Proceeding
  4. 4

    Symbolic Testing for C and Rust by Tomb, Aaron, Pernsteiner, Stuart, Dodds, Mike

    Published in 2020 IEEE Secure Development (SecDev) (01-09-2020)
    “…This tutorial will provide an introduction to Crux, Galois' new open source symbolic testing tool. Traditional testing examines only a small set of test…”
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    Conference Proceeding
  5. 5

    Crux, a Precise Verifier for Rust and Other Languages by Pernsteiner, Stuart, Diatchki, Iavor S, Dockins, Robert, Dodds, Mike, Hendrix, Joe, Ravich, Tristan, Redmond, Patrick, Scott, Ryan, Tomb, Aaron

    Published 23-10-2024
    “…We present Crux, a cross-language verification tool for Rust and C/LLVM. Crux targets bounded, intricate pieces of code that are difficult for humans to get…”
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    Journal Article
  6. 6

    Observationally Cooperative Multithreading by Stone, Christopher A, O'Neill, Melissa E, Bohr, Sonja A, Cozzette, Adam M, DeBlasio, M. Joe, Matsieva, Julia, Pernsteiner, Stuart A, Schumer, Ari D

    Published 17-02-2015
    “…Despite widespread interest in multicore computing, concur- rency models in mainstream languages often lead to subtle, error-prone code. Observationally…”
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    Journal Article