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QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of
  Neural Networks

QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks

22 April 2020
Priyadarshini Panda
    MQ
    AAML
ArXivPDFHTML

Papers citing "QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks"

13 / 13 papers shown
Title
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
72
0
0
31 Oct 2024
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
98
14
0
11 Sep 2021
Constructing Energy-efficient Mixed-precision Neural Networks through
  Principal Component Analysis for Edge Intelligence
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence
I. Chakraborty
Deboleena Roy
Isha Garg
Aayush Ankit
Kaushik Roy
49
38
0
04 Jun 2019
Defensive Quantization: When Efficiency Meets Robustness
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin
Chuang Gan
Song Han
MQ
74
203
0
17 Apr 2019
On Evaluating Adversarial Robustness
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELM
AAML
83
901
0
18 Feb 2019
Discretization based Solutions for Secure Machine Learning against
  Adversarial Attacks
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
Priyadarshini Panda
I. Chakraborty
Kaushik Roy
AAML
48
40
0
08 Feb 2019
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
SILM
OOD
307
12,069
0
19 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
772
36,813
0
25 Aug 2016
Energy-Efficient ConvNets Through Approximate Computing
Energy-Efficient ConvNets Through Approximate Computing
Bert Moons
Bert De Brabandere
Luc Van Gool
Marian Verhelst
35
98
0
22 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
170
4,357
0
16 Mar 2016
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
85
1,166
0
21 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
257
8,842
0
01 Oct 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
0
20 Dec 2014
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