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The Art, Science, and Engineering of Fuzzing: A Survey

IEEE transactions on software engineering, 2021-11, Vol.47 (11), p.2312-2331

2021

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SplitScreen: Enabling efficient, distributed malware detection

Journal of Communications and Networks, 2011, 13(2), , pp.187-200

2011

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AlertVision: Visualizing Security Alerts

Information Security Applications, p.173-184

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RETracer: Triaging Crashes by Reverse Execution from Partial Memory Dumps

2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), 2016, p.820-831

2016

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Program-Adaptive Mutational Fuzzing

2015 IEEE Symposium on Security and Privacy, 2015, p.725-741

2015

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Unleashing Mayhem on Binary Code

2012 IEEE Symposium on Security and Privacy, 2012, p.380-394

2012

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Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned

IEEE transactions on software engineering, 2023-04, Vol.49 (4), p.1661-1682

2023

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Grey-Box Concolic Testing on Binary Code

2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), 2019, p.736-747

2019

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SMARTIAN: enhancing smart contract fuzzing with static and dynamic data-flow analyses

2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021, p.227-239

2021

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Enhancing symbolic execution with veritesting

Proceedings of the 36th International Conference on Software Engineering, 2014, p.1083-1094

2014

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Scheduling black-box mutational fuzzing

Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security, 2013, p.511-522

2013

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NtFuzz: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis

2021 IEEE Symposium on Security and Privacy (SP), 2021, p.677-693

2021

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Mind control attack: Undermining deep learning with GPU memory exploitation

Computers & security, 2021-03, Vol.102, p.102115, Article 102115

2021

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Testing intermediate representations for binary analysis

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2017, p.353-364

2017

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Ankou: guiding grey-box fuzzing towards combinatorial difference

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.1024-1036

2020

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On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-Box Fuzzers

2023 30th Asia-Pacific Software Engineering Conference (APSEC), 2023, p.11-20

2023

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How'd Security Benefit Reverse Engineers? : The Implication of Intel CET on Function Identification

2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2022, p.559-566

2022

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INDAGO: A New Framework For Detecting Malicious SDN Applications

2018 IEEE 26th International Conference on Network Protocols (ICNP), 2018, p.220-230

2018

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FunProbe: Probing Functions from Binary Code through Probabilistic Analysis

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023, p.1419-1430

2023

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Fuzzle: Making a Puzzle for Fuzzers

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022, p.1-12

2022

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Boosting fuzzer efficiency: an information theoretic perspective

Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020, p.678-689

2020

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Evaluating Directed Fuzzers: Are We Heading in the Right Direction?

Proceedings of the ACM on software engineering, 2024-07, Vol.1 (FSE), p.316-337

2024

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Automatic Exploit Generation

Communications of the ACM, 2014-02, Vol.57 (2), p.74-84

2014

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Platform-independent programs

Proceedings of the 17th ACM conference on Computer and communications security, 2010, p.547-558

2010

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Asia's surging interest in binary analysis

Communications of the ACM, 2020-04, Vol.63 (4), p.86-88

2020

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The Art, Science, and Engineering of Fuzzing: A Survey

SplitScreen: Enabling efficient, distributed malware detection

AlertVision: Visualizing Security Alerts

RETracer: Triaging Crashes by Reverse Execution from Partial Memory Dumps

Program-Adaptive Mutational Fuzzing

Unleashing Mayhem on Binary Code

Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned

Grey-Box Concolic Testing on Binary Code

SMARTIAN: enhancing smart contract fuzzing with static and dynamic data-flow analyses

Enhancing symbolic execution with veritesting

Scheduling black-box mutational fuzzing

NtFuzz: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis

Mind control attack: Undermining deep learning with GPU memory exploitation

Testing intermediate representations for binary analysis

Ankou: guiding grey-box fuzzing towards combinatorial difference

On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-Box Fuzzers

How'd Security Benefit Reverse Engineers? : The Implication of Intel CET on Function Identification

INDAGO: A New Framework For Detecting Malicious SDN Applications

FunProbe: Probing Functions from Binary Code through Probabilistic Analysis

Fuzzle: Making a Puzzle for Fuzzers

Boosting fuzzer efficiency: an information theoretic perspective

Evaluating Directed Fuzzers: Are We Heading in the Right Direction?

Automatic Exploit Generation

Platform-independent programs

Asia's surging interest in binary analysis

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