AIModel-Mutator: Finding Vulnerabilities in TensorFlow
Another current study on the security of machine learning models, and information on how framework bugs (such as Tensorflow) can affect it. For example, from 2019 to 2021, the number of CVEs for TF increased 15 times.
Qian Feng, a senior security researcher at Baidu Security talks about the important work they did with their colleagues.
As we know, it's pretty easy to corrupt models, they freely distributed and without any additional checks, so short deep dive into the problem in this video:
Prepared by @codemining.
