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Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators
  on Multi-Tenant FPGAs
v1v2 (latest)

Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs

International Conference on Field-Programmable Technology (ICFPT), 2020
14 December 2020
Andrew Boutros
Mathew Hall
Nicolas Papernot
Vaughn Betz
ArXiv (abs)PDFHTML

Papers citing "Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs"

11 / 11 papers shown
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
H. B. Meftah
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
292
2
0
06 Mar 2025
The Inherent Adversarial Robustness of Analog In-Memory Computing
The Inherent Adversarial Robustness of Analog In-Memory ComputingNature Communications (Nat. Commun.), 2024
Corey Lammie
Julian Büchel
A. Vasilopoulos
Corey Lammie
Abu Sebastian
AAML
413
10
0
11 Nov 2024
Hacking the Fabric: Targeting Partial Reconfiguration for Fault
  Injection in FPGA Fabrics
Hacking the Fabric: Targeting Partial Reconfiguration for Fault Injection in FPGA FabricsAsian Test Symposium (ATS), 2024
Jayeeta Chaudhuri
Hassan Nassar
Dennis R. E. Gnad
J. Henkel
M. Tahoori
Krishnendu Chakrabarty
169
5
0
21 Oct 2024
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud
  FPGAs
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs
Lilas Alrahis
Hassan Nassar
Jonas Krautter
Dennis R. E. Gnad
Lars Bauer
Jörg Henkel
M. Tahoori
221
9
0
04 Mar 2024
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of
  Query-based Integrity Verification
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity VerificationIEEE Symposium on Security and Privacy (S&P), 2023
Bang Wu
Lizhen Qu
Shuo Wang
Qi Li
Minhui Xue
Shirui Pan
311
12
0
13 Dec 2023
A Survey of FPGA Optimization Methods for Data Center Energy Efficiency
A Survey of FPGA Optimization Methods for Data Center Energy EfficiencyIEEE Transactions on Sustainable Computing (TSUSC), 2023
Mattia Tibaldi
C. Pilato
173
13
0
22 Sep 2023
Machine Learning needs Better Randomness Standards: Randomised Smoothing
  and PRNG-based attacks
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacksUSENIX Security Symposium (USENIX Security), 2023
Pranav Dahiya
Ilia Shumailov
Ross J. Anderson
SILMAAML
297
11
0
24 Jun 2023
Pentimento: Data Remanence in Cloud FPGAs
Pentimento: Data Remanence in Cloud FPGAsInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Colin Drewes
Olivia Weng
Andres Meza
Alric Althoff
David Kohlbrenner
Ryan Kastner
D. Richmond
174
6
0
31 Mar 2023
SHIELD: An Adaptive and Lightweight Defense against the Remote Power
  Side-Channel Attacks on Multi-tenant FPGAs
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs
Mahya Morid Ahmadi
Faiq Khalid
Radha Vaidya
F. Kriebel
A. Steininger
Mohamed Bennai
185
9
0
11 Mar 2023
Multi-Tenant Cloud FPGA: A Survey on Security
Multi-Tenant Cloud FPGA: A Survey on Security
M. Ahmed
Joel Mandebi
S. Saha
C. Bobda
199
9
0
22 Sep 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep
  Object Detectors
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object DetectorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Avishag Shapira
Alon Zolfi
Christian Scano
Battista Biggio
A. Shabtai
AAML
301
51
0
26 May 2022
1
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