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12/06/2022
On the Discredibility of Membership Inference Attacks
With the wide-spread application of machine learning models, it has beco...
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03/04/2022
An Efficient Subpopulation-based Membership Inference Attack
Membership inference attacks allow a malicious entity to predict whether...
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03/04/2022
User-Level Membership Inference Attack against Metric Embedding Learning
Membership inference (MI) determines if a sample was part of a victim mo...
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05/12/2021
Accuracy-Privacy Trade-off in Deep Ensembles
Deep ensemble learning has been shown to improve accuracy by training mu...
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05/27/2020
Towards the Infeasibility of Membership Inference on Deep Models
Recent studies propose membership inference (MI) attacks on deep models....
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12/08/2019
Security of Deep Learning Methodologies: Challenges and Opportunities
Despite the plethora of studies about security vulnerabilities and defen...
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10/06/2019
Large-scale Mobile App Identification Using Deep Learning
Many network services and tools (e.g. network monitors, malware-detectio...
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06/12/2019
Multitask Learning for Network Traffic Classification
Traffic classification has various applications in today's Internet, fro...
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04/08/2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
Due to the lack of enough training data and high computational cost to t...
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12/23/2018
How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets
Network traffic classification, which has numerous applications from sec...
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10/18/2018
Deep Learning for Encrypted Traffic Classification: An Overview
Traffic classification has been studied for two decades and applied to a...
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02/01/2018
Study of Uniform Jitter Mechanism for Metric-based Wireless Routing
Many wireless protocols wait a small and random amount of time which is ...
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02/01/2018
