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ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via
  Synthesis Tuning

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning

6 March 2023
A. B. Chowdhury
Lilas Alrahis
L. Collini
J. Knechtel
Ramesh Karri
S. Garg
Ozgur Sinanoglu
Benjamin Tan
    AAML
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Papers citing "ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning"

2 / 2 papers shown
Title
ASCENT: Amplifying Power Side-Channel Resilience via Learning &
  Monte-Carlo Tree Search
ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search
Jitendra Bhandari
A. B. Chowdhury
M. Nabeel
Ozgur Sinanoglu
Siddharth Garg
Ramesh Karri
J. Knechtel
33
1
0
27 Jun 2024
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL
  Designs
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs
Yingjie Li
Mingju Liu
Alan Mishchenko
Cunxi Yu
32
6
0
09 Nov 2023
1