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The Dark Side: Security Concerns in Machine Learning for EDA

The Dark Side: Security Concerns in Machine Learning for EDA

20 March 2022
Zhiyao Xie
Jingyu Pan
Chen-Chia Chang
Yiran Chen
ArXiv (abs)PDFHTML

Papers citing "The Dark Side: Security Concerns in Machine Learning for EDA"

22 / 22 papers shown
Title
Towards Collaborative Intelligence: Routability Estimation based on
  Decentralized Private Data
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data
Jingyu Pan
Chen-Chia Chang
Zhiyao Xie
Ang Li
Minxue Tang
Tunhou Zhang
Jiangkun Hu
Yiran Chen
FedML
31
8
0
30 Mar 2022
Machine Learning for Electronic Design Automation: A Survey
Machine Learning for Electronic Design Automation: A Survey
Guyue Huang
Jingbo Hu
Yifan He
Jialong Liu
Mingyuan Ma
...
Yuzhe Ma
Haoyu Yang
Bei Yu
Huazhong Yang
Yu Wang
61
236
0
10 Jan 2021
Net2: A Graph Attention Network Method Customized for Pre-Placement Net
  Length Estimation
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation
Zhiyao Xie
Rongjian Liang
Xiaoqing Xu
Jiang Hu
Yixiao Duan
Yiran Chen
33
40
0
27 Nov 2020
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum
  Convolutional Neural Network
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network
Zhiyao Xie
Haoxing Ren
Brucek Khailany
Ye Sheng
Santosh Santosh
Jiang Hu
Yiran Chen
27
72
0
26 Nov 2020
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic
  Design Flow Parameter Tuning
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning
Zhiyao Xie
Guan-Qi Fang
Yu-Hung Huang
Haoxing Ren
Yanqing Zhang
Brucek Khailany
Shao-Yun Fang
Jiang Hu
Yiran Chen
Erick Carvajal Barboza
TPM
30
31
0
26 Nov 2020
A general approach for identifying hierarchical symmetry constraints for
  analog circuit layout
A general approach for identifying hierarchical symmetry constraints for analog circuit layout
K. Kunal
Jitesh Poojary
Tonmoy Dhar
Meghna Madhusudan
R. Harjani
S. Sapatnekar
40
45
0
30 Sep 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph
  Neural Networks and Reinforcement Learning
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Hanrui Wang
Kuan-Chieh Wang
Jiacheng Yang
Linxiao Shen
Nan Sun
Hae-Seung Lee
Song Han
GNN
63
240
0
30 Apr 2020
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors
  Against Backdooring Attacks
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Kang Liu
Benjamin Tan
Gaurav Rajavendra Reddy
S. Garg
Yiorgos Makris
Ramesh Karri
AAML
39
9
0
26 Apr 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
69
565
0
18 Dec 2019
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Abdelrahman I. Hosny
S. Hashemi
M. Shalan
Sherief Reda
86
113
0
11 Nov 2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and
  Resource Usage of a High-Level Synthesis Design
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design
Hosein Mohammadi Makrani
Farnoud Farahmand
Hossein Sayadi
Sara Bondi
Sai Manoj P D
Liang Zhao
Avesta Sasan
Houman Homayoun
S. Rafatirad
33
72
0
29 Jul 2019
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with
  Deep Neural Networks
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks
Kourosh Hakhamaneshi
Nick Werblun
Pieter Abbeel
Vladimir M. Stojanović
34
62
0
23 Jul 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
91
1,843
0
06 May 2019
Robustness via curvature regularization, and vice versa
Robustness via curvature regularization, and vice versa
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
J. Uesato
P. Frossard
AAML
79
319
0
23 Nov 2018
Developing Synthesis Flows Without Human Knowledge
Developing Synthesis Flows Without Human Knowledge
Cunxi Yu
Houping Xiao
G. Micheli
52
89
0
16 Apr 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in
  Neural Networks
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini
Chang-rui Liu
Ulfar Erlingsson
Jernej Kos
Basel Alomair
144
1,146
0
22 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
310
12,117
0
19 Jun 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
120
1,404
0
24 Feb 2017
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILMMLAU
107
1,807
0
09 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
280
19,107
0
20 Dec 2014
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