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2407.21220
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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
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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
O. Mutlu
99
576
0
28 Jun 2023
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin
Md Hafizul Islam Chowdhuryy
Fan Yao
Deliang Fan
AAML
MIACV
79
117
0
08 Nov 2021
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
J. Breier
Xiaolu Hou
Martín Ochoa
Jesus Solano
SILM
AAML
72
10
0
23 Sep 2021
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
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
Adnan Siraj Rakin
Li Yang
Jingtao Li
Fan Yao
C. Chakrabarti
Yu Cao
Jae-sun Seo
Deliang Fan
AAML
MQ
68
27
0
22 Mar 2021
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
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
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?
Siddhant Garg
Adarsh Kumar
Vibhor Goel
Yingyu Liang
AAML
116
88
0
04 Aug 2020
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
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
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
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
AAML
56
213
0
03 Jun 2019
RowHammer: A Retrospective
O. Mutlu
Jeremie S. Kim
72
231
0
22 Apr 2019
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
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
170
1,208
0
23 Apr 2018
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
Tianyu Gu
Brendan Dolan-Gavitt
S. Garg
SILM
132
1,784
0
22 Aug 2017
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
887
36,910
0
25 Aug 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.7K
100,575
0
04 Sep 2014
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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