ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search Article Swipe

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Jitendra Bhandari , Animesh Basak Chowdhury , Ozgur Sinanoglu , Siddharth Garg , Ramesh Karri , Johann Knechtel ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1145/3676536.3676821

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Monte Carlo Method

Monte Carlo Tree Search

Resilience (Materials Science)

Mathematical Analysis

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Monte Carlo method Monte Carlo tree search Tree (set theory) Resilience (materials science) Computer science Channel (broadcasting) Power (physics) Statistical physics Physics Mathematics Statistics Telecommunications Thermodynamics Quantum mechanics Mathematical analysis

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3676536.3676821
PDF: https://dl.acm.org/doi/pdf/10.1145/3676536.3676821
OA Status: gold
Cited By: 2
References: 26
Related Works: 10
OpenAlex ID: https://openalex.org/W4409285494

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DOI: https://doi.org/10.1145/3676536.3676821

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Title: ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-10-27

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Authors: Jitendra Bhandari, Animesh Basak Chowdhury, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri, Johann Knechtel

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Landing page: https://doi.org/10.1145/3676536.3676821

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Concepts: Monte Carlo method, Monte Carlo tree search, Tree (set theory), Resilience (materials science), Computer science, Channel (broadcasting), Power (physics), Statistical physics, Physics, Mathematics, Statistics, Telecommunications, Thermodynamics, Quantum mechanics, Mathematical analysis

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Cited by: 2

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Citations by year (recent): 2025: 2

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