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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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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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05/16/2023
A Multi-Client Searchable Encryption Scheme for IoT Environment
The proliferation of connected devices through Internet connectivity pre...
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02/21/2023
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection
Facial forgery detection is a crucial but extremely challenging topic, w...
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02/13/2023
Anti-Compression Contrastive Facial Forgery Detection
Forgery facial images and videos have increased the concern of digital s...
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01/31/2023
ICICLE: A Re-Designed Emulator for Grey-Box Firmware Fuzzing
Emulation-based fuzzers enable testing binaries without source code, and...
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01/16/2023
Diverse Multimedia Layout Generation with Multi Choice Learning
Designing visually appealing layouts for multimedia documents containing...
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01/16/2023
Masked Vector Quantization
Generative models with discrete latent representations have recently dem...
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11/24/2022
Tracking Dataset IP Use in Deep Neural Networks
Training highly performant deep neural networks (DNNs) typically require...
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10/17/2022
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Location trajectories collected by smartphones and other devices represe...
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08/15/2022
Deception for Cyber Defence: Challenges and Opportunities
Deception is rapidly growing as an important tool for cyber defence, com...
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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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03/21/2022
Integrity Fingerprinting of DNN with Double Black-box Design and Verification
Cloud-enabled Machine Learning as a Service (MLaaS) has shown enormous p...
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03/15/2022
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
Honeyfile deployment is a useful breach detection method in cyber decept...
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03/14/2022
Can pre-trained Transformers be used in detecting complex sensitive sentences? – A Monsanto case study
Each and every organisation releases information in a variety of forms r...
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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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01/09/2022
A Retrospective and Futurespective of Rowhammer Attacks and Defenses on DRAM
Rowhammer has drawn much attention from both academia and industry in th...
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11/21/2021
Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception
Cyber deception is emerging as a promising approach to defending network...
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10/31/2021
Optimizing Secure Decision Tree Inference Outsourcing
Outsourcing decision tree inference services to the cloud is highly bene...
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09/07/2021
NoisFre: Noise-Tolerant Memory Fingerprints from Commodity Devices for Security Functions
Given the ubiquity of memory in commodity electronic devices, fingerprin...
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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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05/17/2021
RAIDER: Reinforcement-aided Spear Phishing Detector
Spear Phishing is a harmful cyber-attack facing business and individuals...
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05/12/2021
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
The proliferation of Internet of Things (IoT) devices has made people's ...
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05/10/2021
Robust Training Using Natural Transformation
Previous robustness approaches for deep learning models such as data aug...
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05/03/2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
The diversity and quantity of the data warehousing, gathering data from ...
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04/27/2021
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
Federated learning enables multiple participants to collaboratively trai...
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04/08/2021
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Collaborative inference has recently emerged as an intriguing framework ...
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03/06/2021
Fine with "1234"? An Analysis of SMS One-Time Password Randomness in Android Apps
A fundamental premise of SMS One-Time Password (OTP) is that the used ps...
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03/03/2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Federated learning (FL) and split learning (SL) are state-of-the-art dis...
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03/01/2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
There are now many adversarial attacks for natural language processing s...
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02/01/2021
An Internet of Things Service Roadmap
We propose a roadmap for leveraging the tremendous opportunities the Int...
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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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01/12/2021
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
Convolutional Neural Networks (CNNs) deployed in real-life applications ...
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12/14/2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios
We have witnessed the continuing arms race between backdoor attacks and ...
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10/15/2020
Towards Self-Improving Hybrid Elasticity Control of Cloud-based Software Systems
Elasticity is a form of self-adaptivity in cloud-based software systems ...
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10/08/2020
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
As an essential processing step in computer vision applications, image r...
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07/27/2020
FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning
Artificial intelligence (AI) has been applied in phishing email detectio...
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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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07/17/2020
PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses
Rowhammer is a hardware vulnerability in DRAM memory, where repeated acc...
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06/26/2020
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
Computer users are generally faced with difficulties in making correct s...
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06/17/2020
Adversarial Defense by Latent Style Transformations
Machine learning models have demonstrated vulnerability to adversarial a...
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06/05/2020
Can the Multi-Incoming Smart Meter Compressed Streams be Re-Compressed?
Smart meters have currently attracted attention because of their high ef...
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05/17/2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities
As communities represent similar opinions, similar functions, similar pu...
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04/05/2020
DRAMDig: A Knowledge-assisted Tool to Uncover DRAM Address Mapping
As recently emerged rowhammer exploits require undocumented DRAM address...
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03/30/2020
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
This work is the first attempt to evaluate and compare felderated learni...
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03/16/2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
A new collaborative learning, called split learning, was recently introd...
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03/13/2020
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains
We address the issue of having a limited number of annotations for stanc...
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03/13/2020
ShieldDB: An Encrypted Document Database with Padding Countermeasures
The security of our data stores is underestimated in current practice, w...
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02/21/2020