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NeuroAttack: Undermining Spiking Neural Networks Security through
  Externally Triggered Bit-Flips

NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips

16 May 2020
Valerio Venceslai
Alberto Marchisio
Ihsen Alouani
Maurizio Martina
Mohamed Bennai
    AAML
ArXivPDFHTML

Papers citing "NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips"

13 / 13 papers shown
Title
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Ayana Moshruba
Ihsen Alouani
Maryam Parsa
AAML
59
3
0
24 Feb 2025
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
Amira Guesmi
Ioan Marius Bilasco
Mohamed Bennai
Ihsen Alouani
GAN
AAML
50
20
0
03 Mar 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural
  Networks with Neuromorphic Data
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
Gorka Abad
Oguzhan Ersoy
S. Picek
A. Urbieta
AAML
25
17
0
13 Feb 2023
Improving Reliability of Spiking Neural Networks through Fault Aware
  Threshold Voltage Optimization
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization
Ayesha Siddique
K. A. Hoque
32
5
0
12 Jan 2023
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
Mohamed Bennai
39
13
0
18 Apr 2022
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks
  considering Unreliable Memories
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
26
36
0
23 Aug 2021
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
MQ
24
44
0
05 Jul 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
39
30
0
01 Jul 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 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
Mohamed Bennai
BDL
59
140
0
21 Dec 2020
Securing Deep Spiking Neural Networks against Adversarial Attacks
  through Inherent Structural Parameters
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Rida El-Allami
Alberto Marchisio
Mohamed Bennai
Ihsen Alouani
AAML
19
38
0
09 Dec 2020
Defensive Approximation: Securing CNNs using Approximate Computing
Defensive Approximation: Securing CNNs using Approximate Computing
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAML
19
37
0
13 Jun 2020
Spiking Neural Networks Hardware Implementations and Challenges: a
  Survey
Spiking Neural Networks Hardware Implementations and Challenges: a Survey
Maxence Bouvier
A. Valentian
T. Mesquida
F. Rummens
M. Reyboz
Elisa Vianello
E. Beigné
58
113
0
04 May 2020
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