3 papers
cs.CV2021
ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
Yuliang Liu, Chunhua Shen, Lianwen Jin +4
End-to-end text-spotting, which aims to integrate detection and recognition in a unified framework, has attracted increasing attention due to its simplicity of the two complimentar…
cs.CR2019
Matryoshka: Fuzzing Deeply Nested Branches
Peng Chen, Jianzhong Liu, Hao Chen
Greybox fuzzing has made impressive progress in recent years, evolving from heuristics-based random mutation to approaches for solving individual path constraints. However, they ha…
cs.CR2018
Angora: Efficient Fuzzing by Principled Search
Peng Chen, Hao Chen
Fuzzing is a popular technique for finding software bugs. However, the performance of the state-of-the-art fuzzers leaves a lot to be desired. Fuzzers based on symbolic execution p…