Shahbaz Rezaei

According to our database, Shahbaz Rezaei authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explanation Space: A New Perspective into Time Series Interpretability.

Shahbaz Rezaei, Xin Liu

CoRR, 2024

Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification.

Ziwen Kan, Shahbaz Rezaei, Xin liu

CoRR, 2024

2023

Membership Inference Attacks on Deep Learning Models

Shahbaz Rezaei

PhD thesis, 2023

Dynamic Batch Norm Statistics Update for Natural Robustness.

Shahbaz Rezaei, Mohammad Sadegh Norouzzadeh

CoRR, 2023

Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective.

Shahbaz Rezaei, Zubair Shafiq, Xin Liu

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

On the Discredibility of Membership Inference Attacks.

Shahbaz Rezaei, Xin Liu

CoRR, 2022

An Efficient Subpopulation-based Membership Inference Attack.

Shahbaz Rezaei, Xin Liu

CoRR, 2022

User-Level Membership Inference Attack against Metric Embedding Learning.

Guoyao Li, Shahbaz Rezaei, Xin Liu

CoRR, 2022

2021

Modeling and Evaluation of Multi-Hop Wireless Networks Using SRNs.

Reza Entezari-Maleki, Mohammed Gharib, Shahbaz Rezaei, Kishor S. Trivedi, Ali Movaghar

IEEE Trans. Netw. Sci. Eng., 2021

Accuracy-Privacy Trade-off in Deep Ensembles.

Shahbaz Rezaei, Zubair Shafiq, Xin Liu

CoRR, 2021

On the Difficulty of Membership Inference Attacks.

Shahbaz Rezaei, Xin Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards the Infeasibility of Membership Inference on Deep Models.

Shahbaz Rezaei, Xin Liu

CoRR, 2020

An area-scalable human-based mobility model.

Mohammed Gharib, Ahmad Foroozani, Shahbaz Rezaei, Ali Mohammad Afshin Hemmatyar, Ali Movaghar

Comput. Networks, 2020

Large-Scale Mobile App Identification Using Deep Learning.

Shahbaz Rezaei, Bryce Kroencke, Xin Liu

IEEE Access, 2020

A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning.

Shahbaz Rezaei, Xin Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Multitask Learning for Network Traffic Classification.

Shahbaz Rezaei, Xin Liu

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Security of Deep Learning Methodologies: Challenges and Opportunities.

Shahbaz Rezaei, Xin Liu

CoRR, 2019

Deep Learning for Encrypted Traffic Classification: An Overview.

Shahbaz Rezaei, Xin Liu

IEEE Commun. Mag., 2019

How to Achieve High Classification Accuracy with Just a Few Labels: A Semisupervised Approach Using Sampled Packets.

Shahbaz Rezaei, Xin Liu

Proceedings of the Advances in Data Mining, 2019

2018

Throughput Analysis of IEEE 802.11 Multi-Hop Wireless Networks With Routing Consideration: A General Framework.

Shahbaz Rezaei, Mohammed Gharib, Ali Movaghar

IEEE Trans. Commun., 2018

How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets.

Shahbaz Rezaei, Xin Liu

CoRR, 2018

Study of Uniform Jitter Mechanism for Metric-based Wireless Routing.

Shahbaz Rezaei, Ali Mohammad Afshin Hemmatyar

CoRR, 2018

2017

Performance Analysis of Collision of Exponential Jitter Mechanism in Wireless Networks.

Shahbaz Rezaei

Wirel. Pers. Commun., 2017