Browsing University of Waterloo by Subject "fuzzing"
Now showing items 1-2 of 2
-
Documentation-Guided Fuzzing for Testing Deep Learning API Functions
(University of Waterloo, 2020-12-21)Widely-used deep learning (DL) libraries demand reliability. Thus, it is integral to test DL libraries’ API functions. Despite the effectiveness of fuzz testing, there are few techniques that are specialized in fuzzing API ... -
Security Analysis Methods for Detection and Repair of DoS Vulnerabilities in Smart Contracts
(University of Waterloo, 2021-04-19)In recent years we have witnessed a dramatic increase in the applications of blockchain and smart contracts in a variety of contexts, including supply-chain, decentralized finance, and international money transfers. However, ...