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09/18/2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization
Deep neural networks (DNNs) have achieved state-of-the-art performance o...
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09/18/2023
Reducing Adversarial Training Cost with Gradient Approximation
Deep learning models have achieved state-of-the-art performances in vari...
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08/22/2023
Quantum-Inspired Machine Learning: a Survey
Quantum-inspired Machine Learning (QiML) is a burgeoning field, receivin...
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08/15/2023
SplITS: Split Input-to-State Mapping for Effective Firmware Fuzzing
Ability to test firmware on embedded devices is critical to discovering ...
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08/09/2023
Data-Driven Intelligence can Revolutionize Today's Cybersecurity World: A Position Paper
As cyber threats evolve and grow progressively more sophisticated, cyber...
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06/27/2023
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
DDoS attacks involve overwhelming a target system with a large number of...
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06/06/2023
OptimShare: A Unified Framework for Privacy Preserving Data Sharing – Towards the Practical Utility of Data with Privacy
Tabular data sharing serves as a common method for data exchange. Howeve...
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03/01/2023
Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices
Physical-layer authentication is a popular alternative to the convention...
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09/20/2022
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability
Software vulnerabilities existing in a program or function of computer s...
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09/14/2022
Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network
We consider the multi-user detection (MUD) problem in uplink grant-free ...
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09/06/2022
Compression Optimality of Asymmetric Numeral Systems
Compression also known as entropy coding has a rich and long history. Ho...
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07/21/2022
A Ransomware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework
Solutions for rapid prioritization of different ransomware have been rai...
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07/07/2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Interpretable machine learning offers insights into what factors drive a...
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06/21/2022
Transferable Graph Backdoor Attack
Graph Neural Networks (GNNs) have achieved tremendous success in many gr...
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04/14/2022
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data
Anomaly detection for indoor air quality (IAQ) data has become an import...
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04/07/2022
Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms
The large transformer-based language models demonstrate excellent perfor...
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02/18/2022
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
Biometric data, such as face images, are often associated with sensitive...
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02/12/2022
Local Differential Privacy for Federated Learning in Industrial Settings
Federated learning (FL) is a collaborative learning approach that has ga...
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12/01/2021
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification
Ransomware defense solutions that can quickly detect and classify differ...
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11/16/2021
NatiDroid: Cross-Language Android Permission Specification
The Android system manages access to sensitive APIs by permission enforc...
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10/26/2021
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware
Malware authors apply different obfuscation techniques on the generic fe...
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09/29/2021
A Communication Security Game on Switched Systems for Autonomous Vehicle Platoons
Vehicle-to-vehicle communication enables autonomous platoons to boost tr...
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09/19/2021
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Federated Learning (FL), Split Learning (SL), and SplitFed Learning (SFL...
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06/09/2021
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation
An integrated clinical environment (ICE) enables the connection and coor...
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01/29/2021
Peeler: Profiling Kernel-Level Events to Detect Ransomware
Ransomware is a growing threat that typically operates by either encrypt...
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01/25/2021
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning
Contrastive learning (CL) has recently emerged as an effective approach ...
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08/24/2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Precision health leverages information from various sources, including o...
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07/04/2020
PPaaS: Privacy Preservation as a Service
Personally identifiable information (PII) can find its way into cyberspa...
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06/19/2020
Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications
The rapid spread of COVID-19 has made traditional manual contact tracing...
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04/25/2020
SplitFed: When Federated Learning Meets Split Learning
Federated learning (FL) and split learning (SL) are two recent distribut...
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05/04/2019