2026 Farinaz Koushanfar: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1829	1770	930	893	375	29685
Electronics and Electrical Engineering	64	1255	1196	515	476	296	26922

Research.com Recognitions

2019 - IEEE Fellow For contributions to hardware and embedded systems security and to privacy-preserving computing

Overview

Farinaz Koushanfar is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on computer science, with a strong emphasis on artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, hardware and architecture, and signal processing.

Their work covers several main topics including adversarial robustness in machine learning, privacy-preserving technologies in data, physical unclonable functions (PUFs) and hardware security, cryptography and data security, advanced neural network applications, advanced malware detection techniques, and advanced steganography and watermarking techniques.

Farinaz Koushanfar has contributed extensively to the field through a significant number of publications, with a notable presence in the following venues:

arXiv (Cornell University)
IEEE Security & Privacy
ACM Transactions on Embedded Computing Systems
ACM Transactions on Design Automation of Electronic Systems
IEEE Design and Test

Several frequent co-authors have collaborated with Koushanfar across multiple publications:

Mojan Javaheripi
Ruisi Zhang
Huili Chen
Nojan Sheybani
Paarth Neekhara

Key recent papers include:

"Advances and Open Problems in Federated Learning," 2020, Foundations and Trends® in Machine Learning
"A Taxonomy of Attacks on Federated Learning," 2020, IEEE Security & Privacy
"ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning," 2021, arXiv (Cornell University)
"AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection," 2022, ACM Transactions on Embedded Computing Systems
"HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks," 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)

In recognition of work in hardware and embedded systems security and privacy-preserving computing, Koushanfar was named an IEEE Fellow in 2019.

Best Publications

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

4595
Citations
Coverage problems in wireless ad-hoc sensor networks

S. Meguerdichian;F. Koushanfar;M. Potkonjak;M.B. Srivastava

2527
Citations
A Survey of Hardware Trojan Taxonomy and Detection

M. Tehranipoor;F. Koushanfar

1657
Citations
Physical Unclonable Functions and Applications: A Tutorial

Charles Herder;Meng-Day Yu;Farinaz Koushanfar;Srinivas Devadas

1408
Citations
Advances and open problems in federated learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

1189
Citations
Ending Piracy of Integrated Circuits

J A Roy;F Koushanfar;I L Markov

936
Citations
Exposure in wireless Ad-Hoc sensor networks

Seapahn Meguerdichian;Farinaz Koushanfar;Gang Qu;Miodrag Potkonjak

910
Citations
EPIC: ending piracy of integrated circuits

Jarrod A. Roy;Farinaz Koushanfar;Igor L. Markov

804
Citations
A Primer on Hardware Security: Models, Methods, and Metrics

Masoud Rostami;Farinaz Koushanfar;Ramesh Karri

728
Citations
Worst and best-case coverage in sensor networks

S. Megerian;F. Koushanfar;M. Potkonjak;M.B. Srivastava

547
Citations
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications

M. Sadegh Riazi;Christian Weinert;Oleksandr Tkachenko;Ebrahim M. Songhori

489
Citations
Deepsecure: scalable provably-secure deep learning

Bita Darvish Rouhani;M. Sadegh Riazi;Farinaz Koushanfar

433
Citations
Active hardware metering for intellectual property protection and security

Yousra M. Alkabani;Farinaz Koushanfar

413
Citations
Lightweight secure PUFs

Mehrdad Majzoobi;Farinaz Koushanfar;Miodrag Potkonjak

374
Citations
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks

Huili Chen;Cheng Fu;Jishen Zhao;Farinaz Koushanfar

302
Citations
Fault tolerance techniques for wireless ad hoc sensor networks

F. Koushanfar;M. Potkonjak;A. Sangiovanni-Vincentell

297
Citations
Techniques for Design and Implementation of Secure Reconfigurable PUFs

Mehrdad Majzoobi;Farinaz Koushanfar;Miodrag Potkonjak

285
Citations
Heart-to-heart (H2H): authentication for implanted medical devices

Masoud Rostami;Ari Juels;Farinaz Koushanfar

280
Citations
Testing Techniques for Hardware Security

M. Majzoobi;F. Koushanfar;M. Potkonjak

276
Citations
Exposure in wireless sensor networks: theory and practical solutions

Seapahn Megerian;Farinaz Koushanfar;Gang Qu;Giacomino Veltri

272
Citations
A Primer on Hardware Security: Models, Methods, and Metrics The paper is a primer on hardware security threat models, metrics, and remedies.

Masoud Rostami;Farinaz Koushanfar;Ramesh Karri

2
Citations
Physical Unclonable Functions and Applications: A Tutorial This paper is a tutorial on ongoing work in physical-disorder-based security, security analysis, and implementation choices.

Charles Herder;Farinaz Koushanfar;Srinivas Devadas

0
Citations

Frequent Co-Authors

Miodrag Potkonjak University of California, Los Angeles

Ahmad-Reza Sadeghi Technical University of Darmstadt

Tara Javidi University of California, San Diego

Srinivas Devadas MIT

Thomas Schneider Technical University of Darmstadt

Alberto Sangiovanni-Vincentelli University of California, Berkeley

Igor L. Markov Synopsys (United States)

Ramesh Karri New York University

Dan S. Wallach Rice University

Gang Qu University of Maryland, College Park

External Links

Personal website of Farinaz Koushanfar Google Scholar page

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