MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS

Ph.D

Saved in:
Bibliographic Details
Main Author: SHEN SHIQI
Other Authors: COMPUTER SCIENCE
Published: 2021
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/209021
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-209021
record_format dspace
spelling sg-nus-scholar.10635-2090212021-11-30T18:01:14Z MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS SHEN SHIQI COMPUTER SCIENCE Prateek Saxena program analysis, security, machine learning, binary analysis, symbolic execution, fault localization Ph.D DOCTOR OF PHILOSOPHY (SOC) 2021-11-30T18:01:14Z 2021-11-30T18:01:14Z 2021-06-24 SHEN SHIQI (2021-06-24). MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/209021
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic program analysis, security, machine learning, binary analysis, symbolic execution, fault localization
spellingShingle program analysis, security, machine learning, binary analysis, symbolic execution, fault localization
SHEN SHIQI
MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS
description Ph.D
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
SHEN SHIQI
author SHEN SHIQI
author_sort SHEN SHIQI
title MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS
title_short MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS
title_full MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS
title_fullStr MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS
title_full_unstemmed MIXING DEDUCTIVE AND INDUCTIVE ANALYSES FOR SECURITY APPLICATIONS
title_sort mixing deductive and inductive analyses for security applications
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/209021
_version_ 1718368012972589056