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I Know What You See: Power Side-Channel Attack on Convolutional Neural
  Network Accelerators

I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators

5 March 2018
Lingxiao Wei
Bo Luo
Yu LI
Yannan Liu
Qiang Xu
    FedML
ArXivPDFHTML

Papers citing "I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators"

25 / 25 papers shown
Title
Side-channel attack analysis on in-memory computing architectures
Side-channel attack analysis on in-memory computing architectures
Ziyu Wang
Fanruo Meng
Yongmo Park
Jason K. Eshraghian
Wei D. Lu
24
21
0
06 Sep 2022
AutoCAT: Reinforcement Learning for Automated Exploration of
  Cache-Timing Attacks
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks
Mulong Luo
Wenjie Xiong
G. G. Lee
Yueying Li
Xiaomeng Yang
Amy Zhang
Yuandong Tian
Hsien-Hsin S. Lee
G. E. Suh
AAML
43
10
0
17 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing
  Side Channel
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Shubhi Shukla
Manaar Alam
Sarani Bhattacharya
Debdeep Mukhopadhyay
Pabitra Mitra
AAML
27
2
0
01 Aug 2022
Careful What You Wish For: on the Extraction of Adversarially Trained
  Models
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Kacem Khaled
Gabriela Nicolescu
F. Magalhães
MIACV
AAML
35
4
0
21 Jul 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
Mohamed Bennai
39
13
0
18 Apr 2022
PDNPulse: Sensing PCB Anomaly with the Intrinsic Power Delivery Network
PDNPulse: Sensing PCB Anomaly with the Intrinsic Power Delivery Network
Huifeng Zhu
Haoqi Shan
Dean Sullivan
Xiaolong Guo
Yier Jin
Xuan Zhang
13
15
0
05 Apr 2022
Confidential Machine Learning Computation in Untrusted Environments: A
  Systems Security Perspective
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
Kha Dinh Duy
Taehyun Noh
Siwon Huh
Hojoon Lee
56
9
0
05 Nov 2021
PIM-Enclave: Bringing Confidential Computation Inside Memory
PIM-Enclave: Bringing Confidential Computation Inside Memory
Kha Dinh Duy
Hojoon Lee
24
1
0
05 Nov 2021
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
M. M. Real
Ruben Salvador
AAML
23
31
0
21 Oct 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Anuj Dubey
Rosario Cammarota
Vikram B. Suresh
Aydin Aysu
AAML
33
31
0
01 Sep 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
30
87
0
04 May 2021
A Review of Confidentiality Threats Against Embedded Neural Network
  Models
A Review of Confidentiality Threats Against Embedded Neural Network Models
Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
28
6
0
04 May 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
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs
Shayan Moini
Shanquan Tian
Jakub Szefer
Daniel E. Holcomb
R. Tessier
21
39
0
15 Nov 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
Privacy-preserving Voice Analysis via Disentangled Representations
Privacy-preserving Voice Analysis via Disentangled Representations
Ranya Aloufi
Hamed Haddadi
David E. Boyle
DRL
28
58
0
29 Jul 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
Yuankun Zhu
Yueqiang Cheng
Husheng Zhou
Yantao Lu
MIACV
AAML
39
99
0
23 Jun 2020
De-Anonymizing Text by Fingerprinting Language Generation
De-Anonymizing Text by Fingerprinting Language Generation
Zhen Sun
R. Schuster
Vitaly Shmatikov
29
6
0
17 Jun 2020
BoMaNet: Boolean Masking of an Entire Neural Network
BoMaNet: Boolean Masking of an Entire Neural Network
Anuj Dubey
Rosario Cammarota
Aydin Aysu
AAML
25
45
0
16 Jun 2020
On Functional Test Generation for Deep Neural Network IPs
On Functional Test Generation for Deep Neural Network IPs
Bo Luo
Yu LI
Lingxiao Wei
Qiang Xu
AAML
16
13
0
23 Nov 2019
Membership Privacy for Machine Learning Models Through Knowledge
  Transfer
Membership Privacy for Machine Learning Models Through Knowledge Transfer
Virat Shejwalkar
Amir Houmansadr
22
10
0
15 Jun 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing
  Architectural Hints
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints
Xing Hu
Ling Liang
Lei Deng
Shuangchen Li
Xinfeng Xie
Yu Ji
Yufei Ding
Chang Liu
T. Sherwood
Yuan Xie
AAML
MLAU
23
36
0
10 Mar 2019
Stealing Neural Networks via Timing Side Channels
Stealing Neural Networks via Timing Side Channels
Vasisht Duddu
D. Samanta
D. V. Rao
V. Balas
AAML
MLAU
FedML
33
133
0
31 Dec 2018
Comprehensive Privacy Analysis of Deep Learning: Passive and Active
  White-box Inference Attacks against Centralized and Federated Learning
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Milad Nasr
Reza Shokri
Amir Houmansadr
FedML
MIACV
AAML
13
244
0
03 Dec 2018
Security Analysis of Deep Neural Networks Operating in the Presence of
  Cache Side-Channel Attacks
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
Sanghyun Hong
Michael Davinroy
Yigitcan Kaya
S. Locke
Ian Rackow
Kevin Kulda
Dana Dachman-Soled
Tudor Dumitras
MIACV
25
90
0
08 Oct 2018
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