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08/02/2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Graph neural networks (GNNs) have brought superb performance to various ...
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03/27/2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage
Deep Neural Networks (DNN) are vulnerable to adversarial perturbations-s...
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03/22/2022
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering
Architecture reverse engineering has become an emerging attack against d...
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09/07/2021
Sensitive Samples Revisited: Detecting Neural Network Attacks Using Constraint Solvers
Neural Networks are used today in numerous security- and safety-relevant...
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05/20/2021
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA
As Field-programmable gate arrays (FPGAs) are widely adopted in clouds t...
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07/31/2020
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU
GPUs are increasingly being used in security applications, especially fo...
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01/27/2020
Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDA
Modern electronic systems become evermore complex, yet remain modular, w...
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05/28/2019
