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07/12/2023
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems
In this paper, we present a novel Single-class target-specific Adversari...
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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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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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01/21/2022
Attack of the Clones: Measuring the Maintainability, Originality and Security of Bitcoin 'Forks' in the Wild
Since Bitcoin appeared in 2009, over 6,000 different cryptocurrency proj...
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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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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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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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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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07/21/2020
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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06/16/2020
DeepCapture: Image Spam Detection Using Deep Learning and Data Augmentation
Image spam emails are often used to evade text-based spam filters that d...
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04/22/2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
Creating a state-of-the-art deep-learning system requires vast amounts o...
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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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11/23/2019
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
This work corroborates a run-time Trojan detection method exploiting STR...
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08/28/2019
An Eye for an Eye: Economics of Retaliation in Mining Pools
Currently, miners typically join mining pools to solve cryptographic puz...
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02/28/2019
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash?
In Aug. 2017, Bitcoin was split into the original Bitcoin (BTC) and Bitc...
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01/19/2018
