8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.SE2023
ConFL: Constraint-guided Fuzzing for Machine Learning Framework
Zhao Liu, Quanchen Zou, Tian Yu +4
As machine learning gains prominence in various sectors of society for automated decision-making, concerns have risen regarding potential vulnerabilities in machine learning (ML) f…
cs.CR2017★ 8 cited
Wolf in Sheep's Clothing - The Downscaling Attack Against Deep Learning Applications
Qixue Xiao, Kang Li, Deyue Zhang +1
This paper considers security risks buried in the data processing pipeline in common deep learning applications. Deep learning models usually assume a fixed scale for their trainin…
cs.CR2017★ 2 cited
Security Risks in Deep Learning Implementations
Qixue Xiao, Kang Li, Deyue Zhang +1
Advance in deep learning algorithms overshadows their security risk in software implementations. This paper discloses a set of vulnerabilities in popular deep learning frameworks i…