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

NDSS 2019 NAUTILUS: Fishing for Deep Bugs with GrammarsПодробнее

NDSS 2019 Semantics-Aware Code Generation to Find Vulnerabilities in JavaScript EnginesПодробнее

NDSS 2020 HFL: Hybrid Fuzzing on the Linux KernelПодробнее

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

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

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

NDSS 2019 Systematic Framework to Generate Invariants for Anomaly Detection in ICSПодробнее

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

NDSS 2019 DIAT: Data Integrity Attestation for Resilient Collaboration of Autonomous SystemsПодробнее

NDSS 2021 BAR - icLibFuzzer: Isolated-context libFuzzer for Improving Fuzzer ComparabilityПодробнее

NDSS 2023 - No Grammar, No Problem: Towards Fuzzing the Linux Kernel without System-Call Descript...Подробнее

NDSS 2017: VUzzer: Application-aware Evolutionary FuzzingПодробнее

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

NDSS 2020 On Using Application-Layer Middlebox Protocols for Peeking Behind NAT GatewaysПодробнее

Visualizing Fuzzer CoverageПодробнее

NDSS 2022 Semantic-Informed Driver Fuzzing Without Both the Hardware Devices and the EmulatorsПодробнее