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QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural
  Network against Adversarial Attacks

QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks

4 November 2018
Faiq Khalid
Hassan Ali
Hammad Tariq
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Muhammad Shafique
    AAML
    MQ
ArXivPDFHTML

Papers citing "QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks"

9 / 9 papers shown
Title
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
DiffM
39
0
0
15 Oct 2024
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
Yuetai Li
Zhangchen Xu
Fengqing Jiang
Luyao Niu
D. Sahabandu
Bhaskar Ramasubramanian
Radha Poovendran
SILM
AAML
54
6
0
18 Jun 2024
Security-Aware Approximate Spiking Neural Networks
Security-Aware Approximate Spiking Neural Networks
Syed Tihaam Ahmad
Ayesha Siddique
K. A. Hoque
AAML
23
2
0
12 Jan 2023
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
Special Session: Towards an Agile Design Methodology for Efficient,
  Reliable, and Secure ML Systems
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Muhammad Shafique
31
13
0
18 Apr 2022
Is Approximation Universally Defensive Against Adversarial Attacks in
  Deep Neural Networks?
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?
Ayesha Siddique
K. A. Hoque
AAML
14
6
0
02 Dec 2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
Shehzeen Samarah Hussain
Paarth Neekhara
Shlomo Dubnov
Julian McAuley
F. Koushanfar
AAML
25
71
0
04 Mar 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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