Mohammad Samragh

617 citations
23 papers · 264 · h-index 9

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 11
    • Anomaly Detection Techniques and Applications 6
    • Privacy-Preserving Technologies in Data 5
    • Cryptography and Data Security 4
    • Stochastic Gradient Optimization Techniques 3
    • Advanced Neural Network Applications 5

Mohammad Samragh

18 papers receiving 258 citations

Peers

Mohammad Samragh
Comparison fields: 5 of 38
  • Hardware and Architecture 49
  • Artificial Intelligence 170
  • Computer Vision and Pattern Recognition 56
  • Signal Processing 27
  • Electrical and Electronic Engineering 116
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Samragh

Since Specialization
Citations

This map shows the geographic impact of Mohammad Samragh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Samragh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Samragh more than expected).

Fields of papers citing papers by Mohammad Samragh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Samragh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Samragh. The network helps show where Mohammad Samragh may publish in the future.

Co-authors

The 23 scholars most cited alongside Mohammad Samragh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Samragh Line = papers co-authored together Mohammad Samragh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201944
2 201741
3
XONN: XNOR-based oblivious deep neural network inference
201936
4 201930
5 201826
6 201721
7 202117
8 20199
9 20218
10 20207
11 20206
12 20205
13
CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning
20174
14
Safe Machine Learning and Defeating Adversarial Attacks
20182
15 20202
16 20242
17 20231
18
ResBinNet: Residual Binary Neural Network.
20171
19
Private Split Inference of Deep Networks
20211
20
Towards Safe Deep Learning: Unsupervised Defense Against Generic Adversarial Attacks
20181

About Mohammad Samragh

Mohammad Samragh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Hardware and Architecture, having authored 23 papers that have together received 264 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (6 papers), Advanced Neural Network Applications (5 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (4 papers), Parallel Computing and Optimization Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Hardware and Architecture (49 citations), Artificial Intelligence (170 citations), Computer Vision and Pattern Recognition (56 citations), Signal Processing (27 citations) and Electrical and Electronic Engineering (116 citations). Mohammad Samragh has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Farinaz Koushanfar, Mojan Javaheripi, Tara Javidi, Mohammad Ghasemzadeh, M. Sadegh Riazi, Bita Darvish Rouhani, Sahand Salamat, Behnam Khaleghi, Mohsen Imani and Tajana Rosing. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, IEEE Journal of Selected Topics in Signal Processing, IEEE Security & Privacy, IEEE Solid-State Circuits Magazine and IEEE Transactions on Dependable and Secure Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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