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09/06/2022
MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World
Object detection is the foundation of various critical computer-vision t...
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07/20/2022
MLMSA: Multi-Label Multi-Side-Channel-Information enabled Deep Learning Attacks on APUF Variants
To improve the modeling resilience of silicon strong physical unclonable...
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07/19/2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Federated Learning (FL), a distributed machine learning paradigm, has be...
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01/21/2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
Deep learning models have been shown to be vulnerable to recent backdoor...
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11/22/2021
NTD: Non-Transferability Enabled Backdoor Detection
A backdoor deep learning (DL) model behaves normally upon clean inputs b...
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08/20/2021
Quantization Backdoors to Deep Learning Models
There is currently a burgeoning demand for deploying deep learning (DL) ...
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05/09/2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
Though deep neural network models exhibit outstanding performance for va...
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01/24/2019
Game theoretical modelling of network/cyber security [Review paper]
Game theory is an established branch of mathematics that offers a rich s...
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09/22/2017
Kidnapping Model: An Extension of Selten's Game
Selten's game is a kidnapping model where the probability of capturing t...
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03/30/2013
A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity
Triplet-based Spike Timing Dependent Plasticity (TSTDP) is a powerful sy...
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04/08/2012
Efficient Design of Triplet Based Spike-Timing Dependent Plasticity
Spike-Timing Dependent Plasticity (STDP) is believed to play an importan...
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04/07/2004
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of netw...
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04/07/2004
