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DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers

DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers

30 July 2024
Camilo A. Mart´ınez-Mej´ıa
Jesus Solano
J. Breier
Dominik Bucko
Xiaolu Hou
    AAML
ArXiv (abs)PDFHTML

Papers citing "DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers"

23 / 23 papers shown
Title
Retrospective: Flipping Bits in Memory Without Accessing Them: An
  Experimental Study of DRAM Disturbance Errors
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors
O. Mutlu
99
576
0
28 Jun 2023
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight
  Stealing in Memories
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin
Md Hafizul Islam Chowdhuryy
Fan Yao
Deliang Fan
AAMLMIACV
79
117
0
08 Nov 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li
X. Lyu
Nodens Koren
Lingjuan Lyu
Yue Liu
Xingjun Ma
OnRL
93
338
0
22 Oct 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
J. Breier
Xiaolu Hou
Martín Ochoa
Jesus Solano
SILMAAML
72
10
0
23 Sep 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie
Minghao Chen
Pin-Yu Chen
Yue Liu
FedML
102
172
0
15 Jun 2021
Backdoor Attack in the Physical World
Backdoor Attack in the Physical World
Yiming Li
Tongqing Zhai
Yong Jiang
Zhifeng Li
Shutao Xia
77
113
0
06 Apr 2021
RA-BNN: Constructing Robust & Accurate Binary Neural Network to
  Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
Adnan Siraj Rakin
Li Yang
Jingtao Li
Fan Yao
C. Chakrabarti
Yu Cao
Jae-sun Seo
Deliang Fan
AAMLMQ
68
27
0
22 Mar 2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight
  Bits
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Jiawang Bai
Baoyuan Wu
Yong Zhang
Yiming Li
Zhifeng Li
Shutao Xia
AAML
101
75
0
21 Feb 2021
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy
  Recovery
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery
Jingtao Li
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
C. Chakrabarti
AAML
59
42
0
20 Jan 2021
Computing Systems for Autonomous Driving: State-of-the-Art and
  Challenges
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu
Sidi Lu
Ren Zhong
Baofu Wu
Yongtao Yao
Qingyan Zhang
Weisong Shi
106
280
0
30 Sep 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg
Adarsh Kumar
Vibhor Goel
Yingyu Liang
AAML
116
88
0
04 Aug 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
150
613
0
17 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
105
518
0
05 Jul 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving
  Models
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
Yao Deng
Xi Zheng
Tianyi Zhang
Chen Chen
Guannan Lou
Miryung Kim
AAML
53
143
0
06 Feb 2020
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural
  Networks Under Hardware Fault Attacks
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
AAML
56
213
0
03 Jun 2019
RowHammer: A Retrospective
RowHammer: A Retrospective
O. Mutlu
Jeremie S. Kim
72
231
0
22 Apr 2019
Backdooring Convolutional Neural Networks via Targeted Weight
  Perturbations
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations
Jacob Dumford
Walter J. Scheirer
AAML
73
120
0
07 Dec 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAUAAML
170
1,208
0
23 Apr 2018
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
84
3,241
0
22 Mar 2018
BadNets: Identifying Vulnerabilities in the Machine Learning Model
  Supply Chain
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu
Brendan Dolan-Gavitt
S. Garg
SILM
132
1,784
0
22 Aug 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
887
36,910
0
25 Aug 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
Formal verification of a software countermeasure against instruction
  skip attacks
Formal verification of a software countermeasure against instruction skip attacks
Nicolas Moro
K. Heydemann
Emmanuelle Encrenaz-Tiphène
B. Robisson
66
109
0
26 Feb 2014
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