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FooBaR: Fault Fooling Backdoor Attack on Neural Network Training

v1v2 (latest)

FooBaR: Fault Fooling Backdoor Attack on Neural Network Training

IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021

23 September 2021

ArXiv (abs)PDF HTML

Papers citing "FooBaR: Fault Fooling Backdoor Attack on Neural Network Training"

4 / 4 papers shown

DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers

DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers

Camilo A. Mart´ınez-Mej´ıa

253

2

0

30 Jul 2024

DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural
Networks

DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks

Patrik Velcický

Mladen Kovacevic

247

5

0

22 May 2024

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal
Backdoored Models

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored ModelsIEEE International Conference on Computer Vision (ICCV), 2023

183

14

0

07 Aug 2023

An Incremental Gray-box Physical Adversarial Attack on Neural Network
Training

An Incremental Gray-box Physical Adversarial Attack on Neural Network Training

Rabiah Al-qudah

Moayad Aloqaily

219

7

0

20 Feb 2023

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