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Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
Compared to state-of-the-art weight regularization methods to mitigate catastrophic forgetting, our approach is simple, effective, and enables faster learning.
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
To address this problem, this paper explores using Adversarial Machine Learning (AML) methods as a defense at the computer architecture layer to obfuscate side channels.
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