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05/26/2023
HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
As the use of Large Language Models (LLMs) in text generation tasks prol...
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04/20/2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Federated Learning (FL) enables collaborative deep learning training acr...
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08/18/2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
The security of deep learning (DL) systems is an extremely important fie...
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08/01/2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Recent Deep Learning (DL) advancements in solving complex real-world tas...
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05/26/2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations
Federated Learning (FL) enables numerous participants to train deep lear...
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12/09/2021
PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function
The security of Deep Learning classifiers is a critical field of study b...
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08/13/2020
Deep-Lock: Secure Authorization for Deep Neural Networks
Trained Deep Neural Network (DNN) models are considered valuable Intelle...
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02/05/2019
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications
Neural Networks (NN) have recently emerged as backbone of several sensit...
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12/13/2018
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Physically Unclonable Function (PUF) circuits are finding widespread use...
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11/13/2018
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?
Deep Learning algorithms have recently become the de-facto paradigm for ...
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09/28/2018
Adversarial Attacks and Defences: A Survey
Deep learning has emerged as a strong and efficient framework that can b...
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02/12/2018
