DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes
Mehmet Sinan İnci, Thomas Eisenbarth, Berk Sunar · 2019
Over the past decade, side-channels have proven to be significant and practical threats to modern computing systems. Recent attacks have all exploited the underlying shared hardware. While practical, mounting such a complicated attack is still akin to listening on a private conversation in a crowded train station. The attacker has to either perform significant manual labor or use AI systems to automate the process. The recent academic literature points to the latter option. With the abundance of cheap computing power and the improvements made in AI, it is quite advantageous to automate such tasks. By using AI systems however, malicious parties also inherit their weaknesses, most notably the vulnerability to adversarial samples.