Results 21 to 30 of about 2,352,999 (340)
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks [PDF]
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021 We propose Hashtag, the first framework that enables high-accuracy detection of fault-injection attacks on Deep Neural Networks (DNNs) with provable bounds on detection performance.
Mojan Javaheripi, F. Koushanfar
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A Systematic Review of Fault Injection Attacks on IoT Systems
Electronics, 2022 The field of the Internet of Things (IoT) is growing at a breakneck pace and its applications are becoming increasingly sophisticated with time. Fault injection attacks on IoT systems are aimed at altering software behavior by introducing faults into the
Aakash Gangolli +2 more
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Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System [PDF]
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 2021 Model-based fault injection methods are widely used for the evaluation of fault tolerance in safety-critical control systems. In this paper, we introduce a new model-based fault injection method implemented as a highly-customizable Simulink block called ...
T. Fabarisov +3 more
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DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA [PDF]
Design Automation Conference, 2021 As Field-programmable gate arrays (FPGAs) are widely adopted in clouds to accelerate Deep Neural Networks (DNN), such virtualization environments have posed many new security issues. This work investigates the integrity of DNN FPGA accelerators in clouds.
Yukui Luo +3 more
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Petroleum Exploration and Development, 2022 Based on the analysis of geological characteristics of ultra-deep fault-controlled fracture-cavity carbonate reservoirs and division of reservoir units, two physical models were made, and physical simulations of oil displacement by water injection were ...
Xuewen YANG +5 more
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TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications [PDF]
IEEE International Symposium on Software Reliability Engineering, 2020 As machine learning (ML) has seen increasing adoption in safety-critical domains (e.g., autonomous vehicles), the reliability of ML systems has also grown in importance. While prior studies have proposed techniques to enable efficient error-resilience (e.
Zitao Chen +5 more
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Fault Injection Resilience [PDF]
2010 Workshop on Fault Diagnosis and Tolerance in Cryptography, 2010 Fault injections constitute a major threat to the security of embedded systems. Errors occurring in the cryptographic algorithms have been shown to be extremely dangerous, since powerful attacks can exploit few of them to recover the full secrets. Most of the resistance techniques to perturbation attacks have relied so far on the detection of faults ...
Sylvain Guilley +3 more
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Service-Level Fault Injection Testing
ACM Symposium on Cloud Computing, 2021 Companies today increasingly rely on microservice architectures to deliver service for their large-scale mobile or web applications. However, not all developers working on these applications are distributed systems engineers and therefore do not ...
Christopher S. Meiklejohn +4 more
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Petroleum Research, 2022 The mechanical failure of fault plane during fluid injection can be conveniently approached by numerical methods, and the results can be applied in fault slip analysis to determine the corresponding magnitude of induced seismicity. During hydrofracturing,
Dorcas S. Eyinla
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Applied Sciences, 2023 This study conducted water-induced fault slip experiments on saw-cut granite, sandstone, and limestone samples. Experimental results demonstrated that injecting 15 MPa pressurized water into the vicinity of a high-permeability sandstone fault could ...
Yuanmin Huang +3 more
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