activity
20172021
most citedA Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

163 citations · 189 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AR2021★ 9 cited

RC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks

Shahriar Ebrahimi, Reza Salkhordeh, Seyed Ali Osia +3

Solid-State Drives (SSDs) have significant performance advantages over traditional Hard Disk Drives (HDDs) such as lower latency and higher throughput. Significantly higher price p…

cs.NI2020★ 1 cited

Machine Learning Interpretability Meets TLS Fingerprinting

Mahdi Jafari Siavoshani, Amir Hossein Khajepour, Amirmohammad Ziaei +2

Protecting users' privacy over the Internet is of great importance; however, it becomes harder and harder to maintain due to the increasing complexity of network protocols and comp…

stat.ML2018

Deep Private-Feature Extraction

Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi +3

We present and evaluate Deep Private-Feature Extractor (DPFE), a deep model which is trained and evaluated based on information theoretic constraints. Using the selective exchange…

cs.CV2017★ 16 cited

Privacy-Preserving Deep Inference for Rich User Data on The Cloud

Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri +4

Deep neural networks are increasingly being used in a variety of machine learning applications applied to rich user data on the cloud. However, this approach introduces a number of…

cs.LG2017★ 163 cited

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh +5

Internet of Things (IoT) devices and applications are being deployed in our homes and workplaces. These devices often rely on continuous data collection to feed machine learning mo…