Media Summary: Hoang Lam Nguyen Humboldt-Universität zu Berlin, Nebras Nassar Philipps-Universität Marburg, Timo Kehrer ... SESSION 6A-4 Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Jigsaw: Efficient and Scalable Path Constraints

Mtfuzz Fuzzing With A Multi - Detailed Analysis & Overview

Hoang Lam Nguyen Humboldt-Universität zu Berlin, Nebras Nassar Philipps-Universität Marburg, Timo Kehrer ... SESSION 6A-4 Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Jigsaw: Efficient and Scalable Path Constraints For slides and more information on the paper, visit Discussion lead: Tahseen Shabab ...

Photo Gallery

MTFuzz: Fuzzing with a Multi-task Neural Network (Video, ESEC/FSE 2020)
MTFuzz: Fuzzing with a Multi-task Neural Network (Teaser, ESEC/FSE 2020)
USENIX Security '24 - MultiFuzz: A Multi-Stream Fuzzer For Testing Monolithic Firmware
CrFuzz: Fuzzing Multi-purpose Programs through Input Validation (Video, ESEC/FSE 2020)
NDSS 2019 REDQUEEN: Fuzzing with Input-to-State Correspondence
72  Fuzzing Multiple Layers
GopherCon 2022: Fuzz Testing Made Easy - Katie Hockman
ASE2020: MoFuzz: A Fuzzer Suite for Testing Model-Driven Software Engineering Tools
Fuzzing Programs to Find Bugs - Computerphile
32 - Neural Network Assisted Fuzzing - Discovering Software Vulnerabilities Using Deep Learning
NDSS 2021  Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing
Jigsaw: Efficient and Scalable Path Constraints Fuzzing
View Detailed Profile
MTFuzz: Fuzzing with a Multi-task Neural Network (Video, ESEC/FSE 2020)

MTFuzz: Fuzzing with a Multi-task Neural Network (Video, ESEC/FSE 2020)

"

MTFuzz: Fuzzing with a Multi-task Neural Network (Teaser, ESEC/FSE 2020)

MTFuzz: Fuzzing with a Multi-task Neural Network (Teaser, ESEC/FSE 2020)

"

USENIX Security '24 - MultiFuzz: A Multi-Stream Fuzzer For Testing Monolithic Firmware

USENIX Security '24 - MultiFuzz: A Multi-Stream Fuzzer For Testing Monolithic Firmware

MultiFuzz: A

CrFuzz: Fuzzing Multi-purpose Programs through Input Validation (Video, ESEC/FSE 2020)

CrFuzz: Fuzzing Multi-purpose Programs through Input Validation (Video, ESEC/FSE 2020)

"CrFuzz:

NDSS 2019 REDQUEEN: Fuzzing with Input-to-State Correspondence

NDSS 2019 REDQUEEN: Fuzzing with Input-to-State Correspondence

SESSION 4A-2 - REDQUEEN:

72  Fuzzing Multiple Layers

72 Fuzzing Multiple Layers

72 Fuzzing Multiple Layers

GopherCon 2022: Fuzz Testing Made Easy - Katie Hockman

GopherCon 2022: Fuzz Testing Made Easy - Katie Hockman

Go now supports

ASE2020: MoFuzz: A Fuzzer Suite for Testing Model-Driven Software Engineering Tools

ASE2020: MoFuzz: A Fuzzer Suite for Testing Model-Driven Software Engineering Tools

Hoang Lam Nguyen Humboldt-Universität zu Berlin, Nebras Nassar Philipps-Universität Marburg, Timo Kehrer ...

Fuzzing Programs to Find Bugs - Computerphile

Fuzzing Programs to Find Bugs - Computerphile

Fuzzing

32 - Neural Network Assisted Fuzzing - Discovering Software Vulnerabilities Using Deep Learning

32 - Neural Network Assisted Fuzzing - Discovering Software Vulnerabilities Using Deep Learning

Neural network-assisted

NDSS 2021  Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing

NDSS 2021 Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing

SESSION 6A-4 Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox

Jigsaw: Efficient and Scalable Path Constraints Fuzzing

Jigsaw: Efficient and Scalable Path Constraints Fuzzing

Jigsaw: Efficient and Scalable Path Constraints

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC

For slides and more information on the paper, visit https://aisc.ai.science/events/2019-08-26 Discussion lead: Tahseen Shabab ...