Abstract: Split learning (SL) is a privacy-focused method for training deep learning models that prevents clients and servers from sharing raw data. There are a few downsides to supervised learning, ...
Abstract: Return-oriented programming (ROP) is a code-reuse attack that uses borrowed chunks of executable code for arbitrary computation. On Windows, ROP is often used solely to bypass Data Execution ...
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