NDSS 2019 Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing
NDSS 2019 Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing
|
Yükleniyor...
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

NDSS 2019 Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing

NDSS 2019 Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing

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

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

|
NDSS 2020 HFL: Hybrid Fuzzing on the Linux Kernel

NDSS 2020 HFL: Hybrid Fuzzing on the Linux Kernel

|
NDSS 2020 Not All Coverage Measurements Are Equal: Fuzzing for Input Prioritization

NDSS 2020 Not All Coverage Measurements Are Equal: Fuzzing for Input Prioritization

|
NDSS 2019 PeriScope: An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary

NDSS 2019 PeriScope: An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary

|
NDSS 2019 - Keynote: Modern Challenges for Cyber Defense - Dr. Deborah Frincke

NDSS 2019 - Keynote: Modern Challenges for Cyber Defense - Dr. Deborah Frincke

|
NDSS 2019 - Life after Speech Recognition: Fuzzing Semantic Misinterpretation for Voice Assistants

NDSS 2019 - Life after Speech Recognition: Fuzzing Semantic Misinterpretation for Voice Assistants

|
Pangolin: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction

Pangolin: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction

|
Qsym: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

Qsym: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

|
LeanSym: Efficient Hybrid Fuzzing Through Conservative Constraint Debloating

LeanSym: Efficient Hybrid Fuzzing Through Conservative Constraint Debloating

|
NDSS 2018 Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing

NDSS 2018 Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing

|
USENIX Security '19 - EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers

USENIX Security '19 - EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers

|
NDSS 2017: VUzzer: Application-aware Evolutionary Fuzzing

NDSS 2017: VUzzer: Application-aware Evolutionary Fuzzing

|
USENIX Security '18 - QSYM : A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

USENIX Security '18 - QSYM : A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

|
USENIX Security '19 - AntiFuzz: Impeding Fuzzing Audits of Binary Executables

USENIX Security '19 - AntiFuzz: Impeding Fuzzing Audits of Binary Executables

|
SAVIOR: Towards Bug-driven Hybrid Testing

SAVIOR: Towards Bug-driven Hybrid Testing

|
NDSS 2020 DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing

NDSS 2020 DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing

|
ACM CCS 2017 - Directed Greybox Fuzzing - Abhik Roychoudhury

ACM CCS 2017 - Directed Greybox Fuzzing - Abhik Roychoudhury

|
NDSS 2019 TextBugger: Generating Adversarial Text Against Real-world Applications

NDSS 2019 TextBugger: Generating Adversarial Text Against Real-world Applications

|
Concolic Fuzzing: Theorem Prover on Your Julia Code | Valentin Churavy | JuliaCon 2019

Concolic Fuzzing: Theorem Prover on Your Julia Code | Valentin Churavy | JuliaCon 2019

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa