most citedFixing Security Vulnerabilities with AI in OSS-Fuzz

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20241 cited

Fixing Security Vulnerabilities with AI in OSS-Fuzz

Yuntong Zhang, Jiawei Wang, Dominic Berzin +5

Critical open source software systems undergo significant validation in the form of lengthy fuzz campaigns. The fuzz campaigns typically conduct a biased random search over the dom…

cs.SE2023

Program Repair by Fuzzing over Patch and Input Space

Yuntong Zhang, Ridwan Shariffdeen, Gregory J. Duck +2

Fuzz testing (fuzzing) is a well-known method for exposing bugs/vulnerabilities in software systems. Popular fuzzers, such as AFL, use a biased random search over the domain of pro…

cs.SE2023

Patch Space Exploration using Static Analysis Feedback

Yuntong Zhang, Andreea Costea, Ridwan Shariffdeen +2

Automated Program Repair (APR) techniques typically rely on a given test-suite to guide the repair process. Apart from the need to provide test oracles, this makes the produced pat…

cs.LG2023

Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning

Yuntong Zhang, Jingye Xu, Mimi Xie +3

Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstra…

cs.LG2023

PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models

Yuntong Zhang, Jingye Xu, Mimi Xie +4

Recent studies showed that Photoplethysmography (PPG) sensors embedded in wearable devices can estimate heart rate (HR) with high accuracy. However, despite of prior research effor…