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Application Specific Integrated Circuit (ASIC)… duration 1 minute 22 seconds Application Specific Integrated Circuit (ASIC)… Application Specific Integrated Circuit (ASIC) Hardware Security	Application Specific Integrated Circuit (ASIC) Hardware Security Kevin Immanuel Gubbi Abstract: Due to the globalization of the semiconductor IC supply chain, there has been a plethora of opportunities for malicious entities to compromise the seciruty of the… ecexpo 2022 hardware channel side supply logic analysis counterfeiting piracy attacks chain ic socket device memory ram std methods detection machine monitors From Philip Young 0 likes 42 plays 0
DNN Model Architecture Fingerprinting Attack on… duration 1 minute 9 seconds DNN Model Architecture Fingerprinting Attack on… DNN Model Architecture Fingerprinting Attack on CPU-GPU Edge Devices - Kartik Patwari	DNN Model Architecture Fingerprinting Attack on CPU-GPU Edge Devices - Kartik Patwari Abstract: Deep Learning has gained tremendous momentum in the last decade and is now widely used for many tasks. Deep Neural Networks (DNNs) are constantly being developed and improved, finding… ecexpo 2022 attacks architecture knowledge devices model gpu fingerprinting downstream families feature dram features cpu ram statistics level attack dnas avenue edge From Philip Young 0 likes 29 plays 0

Application Specific Integrated Circuit (ASIC)…

duration 1 minute 22 seconds

Application Specific Integrated Circuit (ASIC)…

Application Specific Integrated Circuit (ASIC) Hardware Security

Kevin Immanuel Gubbi Abstract: Due to the globalization of the semiconductor IC supply chain, there has been a plethora of opportunities for malicious entities to compromise the seciruty of the…

From Philip Young 0 likes 42 plays 0

DNN Model Architecture Fingerprinting Attack on…

duration 1 minute 9 seconds

DNN Model Architecture Fingerprinting Attack on…

DNN Model Architecture Fingerprinting Attack on CPU-GPU Edge Devices - Kartik Patwari

Abstract: Deep Learning has gained tremendous momentum in the last decade and is now widely used for many tasks. Deep Neural Networks (DNNs) are constantly being developed and improved, finding…

From Philip Young 0 likes 29 plays 0