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09/21/2023
DeepTheft: Stealing DNN Model Architectures through Power Side Channel
Deep Neural Network (DNN) models are often deployed in resource-sharing ...
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02/03/2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Federated learning (FL) is the most popular distributed machine learning...
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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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05/31/2022
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences
Backdoor attacks have been a critical threat to deep neural network (DNN...
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04/05/2022
Sufficient Reasons for A Zero-Day Intrusion Detection Artificial Immune System
The Internet is the most complex machine humankind has ever built, and h...
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04/04/2022
Towards Privacy-Preserving and Verifiable Federated Matrix Factorization
Recent years have witnessed the rapid growth of federated learning (FL),...
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03/29/2022
Systematically Evaluation of Challenge Obfuscated APUFs
As a well-known physical unclonable function that can provide huge numbe...
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02/10/2022
PPA: Preference Profiling Attack Against Federated Learning
Federated learning (FL) trains a global model across a number of decentr...
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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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10/03/2021
Design and Evaluate Recomposited OR-AND-XOR-PUF
Physical Unclonable Function (PUF) is a hardware security primitive with...
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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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07/27/2020
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT
Due to the strong analytical ability of big data, deep learning has been...
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07/21/2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
This work provides the community with a timely comprehensive review of b...
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03/01/2020
