Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing, Network and Distributed System Security Symposium (NDSS), Feb 2018 > International Papers

[SW Security] Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing, Network and Distributed System Security Symposium (NDSS), Feb 2018

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08-19

Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing, Wookhyun Han, Byunggill Joe, Byoungyoung Lee, Chengyu Song, and Insik Shin, Network and Distributed System Security Symposium (NDSS) 2018

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International Papers

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AI Security Panop: Mimicry-Resistant ANN-based Distributed NIDS for IoT Networks, IEEE Access, July 2021

AI Security Learn2Evade: Learning-based Generative Model for Evading PDF Malware Classifiers, IEEE Transactions on Artificial Intelligence, July 2021

AI Security Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device, Design Automation Conference (DAC), Jul 2020

AI Security DADE: a fast data anomaly detection engine for kernel integrity monitoring, The Journal of Supercomputing, Aug 2019

AI Security Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device, Design Automation Conference WIP, Jun 2019

AI Security Real-Time Anomalous Branch Behavior Detection with a GPU-inspired Engine for Machine Learning Models, DATE, Mar 2019

AI Security An SoC Architecture for Learning-Based Online Anomaly Detection on ARM, Design Automation Conference WIP, Jun 2018

AI Security Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models, DEEP LEARNING AND SECURITY WORKSHOP, May2018

AI Security LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems, arXiv preprint arXiv:1611.01726, Nov 2016