FUZZING 2025 Contributors

Wed 25 - Sat 28 June 2025 Trondheim, Norway

co-located with ISSTA 2025

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Results (37)

A Imam Al-FathAl-Fath, Imam ZKSecurity Towards Fuzzing Zero-Knowledge Proof Circuits
B Marcel BöhmeBöhme, Marcel MPI for Security and PrivacyGermany Committee Member in Organizing Committee within the FUZZING-track
C Sang Kil ChaCha, Sang Kil KAISTSouth Korea On the Applicability of Benford’s Law to Detect Saturation in Fuzzing
Stefanos ChaliasosChaliasos, Stefanos Imperial College LondonUnited Kingdom Towards Fuzzing Zero-Knowledge Proof Circuits
Shaanan CohneyCohney, Shaanan University of Melbourne Trailblazer: Practical End-to-end Web API Fuzzing
Emilio CoppaCoppa, Emilio LUISS UniversityItaly Hybrid Fuzzing of Infrastructure as Code Programs
D Alastair F. DonaldsonDonaldson, Alastair F. Imperial College LondonUnited Kingdom Towards Fuzzing Zero-Knowledge Proof Circuits
F Yudai FujiwaraFujiwara, Yudai Ricerca Security, Inc. Shepherd: High-Precision Coverage Inference for Response-guided Blackbox Fuzzing
J Shouling JiJi, Shouling Zhejiang UniversityChina MQueez: Specification-Driven Fuzzing for MQTT Broker
K Miryung KimKim, Miryung UCLA and Amazon Web ServicesUnited States Keynote: Constraining Fuzzing without Paying Too Much
L Haeun LeeLee, Haeun KAIST On the Applicability of Benford’s Law to Detect Saturation in Fuzzing
Jungwoo LeeLee, Jungwoo KAISTSouth Korea On the Applicability of Benford’s Law to Detect Saturation in Fuzzing
Peiyu LiuLiu, Peiyu Zhejiang University MQueez: Specification-Driven Fuzzing for MQTT Broker
Xinpeng LiuLiu, Xinpeng Zhejiang University MQueez: Specification-Driven Fuzzing for MQTT Broker
M Ruijie MengMeng, Ruijie National University of Singapore, SingaporeSingapore Committee Member in Organizing Committee within the FUZZING-track
Toby MurrayMurray, Toby University of MelbourneAustralia Trailblazer: Practical End-to-end Web API Fuzzing
N Stephan NeuhausNeuhaus, Stephan ZHAW School of Engineering Personalized Fuzzing: A Case Study with the FANDANGO Fuzzer on a GNSS Module
Yannic NollerNoller, Yannic Ruhr University BochumGermany Committee Member in Organizing Committee within the FUZZING-track
O Kaoru OtsukaOtsuka, Kaoru Ricerca Security, Inc. Shepherd: High-Precision Coverage Inference for Response-guided Blackbox Fuzzing
P Rohan PadhyePadhye, Rohan Carnegie Mellon UniversityUnited States Committee Member in Organizing Committee within the FUZZING-track
Lianglu PanPan, Lianglu University of Melbourne Trailblazer: Practical End-to-end Web API Fuzzing
Sangjun ParkPark, Sangjun KAIST On the Applicability of Benford’s Law to Detect Saturation in Fuzzing
Thuan PhamPham, Thuan University of MelbourneAustralia Trailblazer: Practical End-to-end Web API Fuzzing
Geguang PuPu, Geguang East China Normal University, ChinaChina Revisiting the Combination of Static Analysis Error Traces and Dynamic Symbolic Execution: A Potential Approach for True Positive Confirmation
S Guido SalvaneschiSalvaneschi, Guido University of St. GallenSwitzerland Hybrid Fuzzing of Infrastructure as Code Programs
Takuya ShimizuShimizu, Takuya Ricerca Security, Inc. Shepherd: High-Precision Coverage Inference for Response-guided Blackbox Fuzzing
Daniel SokolowskiSokolowski, Daniel University of St. GallenSwitzerland Hybrid Fuzzing of Infrastructure as Code Programs
Yuichi SugiyamaSugiyama, Yuichi Ricerca Security, Inc. Shepherd: High-Precision Coverage Inference for Response-guided Blackbox Fuzzing
Laszlo SzekeresSzekeres, Laszlo Google Committee Member in Organizing Committee within the FUZZING-track
W Qinying WangWang, Qinying Zhejiang University MQueez: Specification-Driven Fuzzing for MQTT Broker
Wenhai WangWang, Wenhai Zhejiang University MQueez: Specification-Driven Fuzzing for MQTT Broker
Will WilsonWilson, Will Keynote: Are you sure you belong in academia?
X Yihua XuXu, Yihua East China Normal University Revisiting the Combination of Static Analysis Error Traces and Dynamic Symbolic Execution: A Potential Approach for True Positive Confirmation
Y Ryuichi YoshizawaYoshizawa, Ryuichi Ricerca Security, Inc. Shepherd: High-Precision Coverage Inference for Response-guided Blackbox Fuzzing
Z José Antonio Zamudio AmayaZamudio Amaya, José Antonio CISPA Helmholtz Center for Information SecuritySpain Personalized Fuzzing: A Case Study with the FANDANGO Fuzzer on a GNSS Module
Andreas ZellerZeller, Andreas CISPA Helmholtz Center for Information SecurityGermany Personalized Fuzzing: A Case Study with the FANDANGO Fuzzer on a GNSS Module
Chengyu ZhangZhang, Chengyu Loughborough UniversityUnited Kingdom Revisiting the Combination of Static Analysis Error Traces and Dynamic Symbolic Execution: A Potential Approach for True Positive Confirmation