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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

3 June 2019
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
    AAML
ArXivPDFHTML

Papers citing "Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks"

36 / 86 papers shown
Title
FitAct: Error Resilient Deep Neural Networks via Fine-Grained
  Post-Trainable Activation Functions
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions
B. Ghavami
Mani Sadati
Zhenman Fang
Lesley Shannon
AI4CE
15
26
0
27 Dec 2021
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks
  on Deep Neural Networks
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks
Mojan Javaheripi
F. Koushanfar
16
22
0
02 Nov 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving
  Adversarial Outcomes
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Tudor Dumitras
MQ
60
13
0
26 Oct 2021
Uncovering In-DRAM RowHammer Protection Mechanisms: A New Methodology,
  Custom RowHammer Patterns, and Implications
Uncovering In-DRAM RowHammer Protection Mechanisms: A New Methodology, Custom RowHammer Patterns, and Implications
Hasan Hassan
Yahya Can Tugrul
Jeremie S. Kim
V. V. D. Veen
Kaveh Razavi
O. Mutlu
44
99
0
20 Oct 2021
A Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of
  Real DRAM Chips and Implications on Future Attacks and Defenses
A Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses
Lois Orosa
A. G. Yaglikçi
Haocong Luo
Ataberk Olgun
Jisung Park
Hasan Hassan
Minesh Patel
Jeremie S. Kim
O. Mutlu
17
84
0
19 Oct 2021
Don't Knock! Rowhammer at the Backdoor of DNN Models
Don't Knock! Rowhammer at the Backdoor of DNN Models
M. Tol
Saad Islam
Andrew J. Adiletta
B. Sunar
Ziming Zhang
AAML
32
15
0
14 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
SILM
AAML
39
8
0
23 Sep 2021
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Muhammad Shafique
Alberto Marchisio
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
44
33
0
20 Sep 2021
Towards a Safety Case for Hardware Fault Tolerance in Convolutional
  Neural Networks Using Activation Range Supervision
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision
Florian Geissler
S. Qutub
S. Roychowdhury
Ali Asgari Khoshouyeh
Ya-li Peng
Akash Dhamasia
Ralf Graefe
Karthik Pattabiraman
Michael Paulitsch
AAML
14
12
0
16 Aug 2021
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on
  Commercial EdgeML Device
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device
Yoo-Seung Won
Soham Chatterjee
Dirmanto Jap
A. Basu
S. Bhasin
AAML
FedML
25
12
0
03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Dynamic Neural Network Architectural and Topological Adaptation and
  Related Methods -- A Survey
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
40
0
0
28 Jul 2021
Bad Characters: Imperceptible NLP Attacks
Bad Characters: Imperceptible NLP Attacks
Nicholas Boucher
Ilia Shumailov
Ross J. Anderson
Nicolas Papernot
AAML
SILM
41
103
0
18 Jun 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
AAML
MQ
34
25
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
14
74
0
21 Feb 2021
SoftTRR: Protect Page Tables Against RowHammer Attacks using
  Software-only Target Row Refresh
SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh
Zhi-Li Zhang
Yueqiang Cheng
Minghua Wang
Wei He
Wenhao Wang
Surya Nepal
Yansong Gao
Kang Li
Zhe Wang
Chenggang Wu
33
13
0
20 Feb 2021
BlockHammer: Preventing RowHammer at Low Cost by Blacklisting
  Rapidly-Accessed DRAM Rows
BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows
A. G. Yaglikçi
Minesh Patel
Jeremie S. Kim
Roknoddin Azizi
Ataberk Olgun
...
Jisung Park
Konstantinos Kanellopoulos
Taha Shahroodi
Saugata Ghose
O. Mutlu
60
139
0
11 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
16
39
0
20 Jan 2021
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware
  Accelerators
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique
K. Basu
K. A. Hoque
27
13
0
08 Jan 2021
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators
  on Multi-Tenant FPGAs
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs
Andrew Boutros
Mathew Hall
Nicolas Papernot
Vaughn Betz
16
38
0
14 Dec 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
25
49
0
05 Nov 2020
Deep Neural Mobile Networking
Deep Neural Mobile Networking
Chaoyun Zhang
32
1
0
23 Oct 2020
DeepDyve: Dynamic Verification for Deep Neural Networks
DeepDyve: Dynamic Verification for Deep Neural Networks
Yu Li
Min Li
Bo Luo
Ye Tian
Qiang Xu
AAML
11
30
0
21 Sep 2020
Artificial Neural Networks and Fault Injection Attacks
Artificial Neural Networks and Fault Injection Attacks
Shahin Tajik
F. Ganji
SILM
13
10
0
17 Aug 2020
Trustworthy AI Inference Systems: An Industry Research View
Trustworthy AI Inference Systems: An Industry Research View
Rosario Cammarota
M. Schunter
Anand Rajan
Fabian Boemer
Ágnes Kiss
...
Aydin Aysu
Fateme S. Hosseini
Chengmo Yang
Eric Wallace
Pam Norton
17
14
0
10 Aug 2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
Adnan Siraj Rakin
Zhezhi He
Jingtao Li
Fan Yao
C. Chakrabarti
Deliang Fan
AAML
14
13
0
24 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
  Review
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
36
220
0
21 Jul 2020
On the Effectiveness of Regularization Against Membership Inference
  Attacks
On the Effectiveness of Regularization Against Membership Inference Attacks
Yigitcan Kaya
Sanghyun Hong
Tudor Dumitras
35
27
0
09 Jun 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks
Sponge Examples: Energy-Latency Attacks on Neural Networks
Ilia Shumailov
Yiren Zhao
Daniel Bates
Nicolas Papernot
Robert D. Mullins
Ross J. Anderson
SILM
19
127
0
05 Jun 2020
TRRespass: Exploiting the Many Sides of Target Row Refresh
TRRespass: Exploiting the Many Sides of Target Row Refresh
Pietro Frigo
Emanuele Vannacci
Hasan Hassan
V. V. D. Veen
O. Mutlu
Cristiano Giuffrida
H. Bos
Kaveh Razavi
8
215
0
03 Apr 2020
A Low-cost Fault Corrector for Deep Neural Networks through Range
  Restriction
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
Zitao Chen
Guanpeng Li
Karthik Pattabiraman
AAML
AI4CE
25
17
0
30 Mar 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through
  Targeted Chain of Bit Flips
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Fan Yao
Adnan Siraj Rakin
Deliang Fan
AAML
18
154
0
30 Mar 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
J. Breier
Dirmanto Jap
Xiaolu Hou
S. Bhasin
Yang Liu
17
52
0
23 Feb 2020
TBT: Targeted Neural Network Attack with Bit Trojan
TBT: Targeted Neural Network Attack with Bit Trojan
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
19
211
0
10 Sep 2019
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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