2 citations · 2 across the 3 of their papers we have counts for
3 papers
PickleFuzzer: A Case Study in Fuzzing for Discrepancies Between Python Pickle Implementations
Justin Applegate, Andreas Kellas
Python's native serialization protocol, pickle, is a powerful but insecure format for transferring untrusted data. It is frequently used, especially for saving machine learning mod…
PickleBall: Secure Deserialization of Pickle-based Machine Learning Models (Extended Report)
Andreas D. Kellas, Neophytos Christou, Wenxin Jiang +6
Machine learning model repositories such as the Hugging Face Model Hub facilitate model exchanges. However, bad actors can deliver malware through compromised models. Existing defe…
Timeloops: Automatic System Call Policy Learning for Containerized Microservices
Meghna Pancholi, Andreas D. Kellas, Vasileios P. Kemerlis +1
In this paper we introduce Timeloops a novel technique for automatically learning system call filtering policies for containerized microservices applications. At run-time, Timeloop…