Launching the session was Quiring et al.'s "On the Detection of Image-Scaling Attacks in Machine Learning", showcasing novel methods to detect subtle manipulations in scaled images for enhanced security. (https://www.acsac.org/2023/program/final/s55.html) 2/4
#ImageProcessing #ML #SecurityinML
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The second paper in this session was Li et al.'s "Secure MLaaS with Temper: Trusted and Efficient Model Partitioning and Enclave Reuse" which discusses enhancing MLaaS security and efficiency. (https://www.acsac.org/2023/program/final/s172.html) 3/5
#MLaaS #SecurityInML #EfficencyInML
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