17 citations · 22 across the 3 of their papers we have counts for
4 papers
Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration
Soroush Hashemifar, Saeed Parsa, Morteza Zakeri-Nasrabadi
As the capacity of deep neural networks (DNNs) increases, their need for huge amounts of data significantly grows. A common practice is to outsource the training process or collect…
A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges
Morteza Zakeri-Nasrabadi, Saeed Parsa, Mohammad Ramezani +2
Measuring and evaluating source code similarity is a fundamental software engineering activity that embraces a broad range of applications, including but not limited to code recomm…
An ensemble meta-estimator to predict source code testability
Morteza Zakeri-Nasrabadi, Saeed Parsa
Unlike most other software quality attributes, testability cannot be evaluated solely based on the characteristics of the source code. The effectiveness of the test suite and the b…
Format-aware Learn&Fuzz: Deep Test Data Generation for Efficient Fuzzing
Morteza Zakeri Nasrabadi, Saeed Parsa, Akram Kalaee
Appropriate test data is a crucial factor to reach success in dynamic software testing, e.g., fuzzing. Most of the real-world applications, however, accept complex structure inputs…