Farinaz Koushanfar

Farinaz Koushanfar

University of California, San Diego

H-index: 69

North America-United States

About Farinaz Koushanfar

Farinaz Koushanfar, With an exceptional h-index of 69 and a recent h-index of 54 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Embedded and cyber-physical systems, security and trust, adaptive computing, machine learning, synthesis and customization.

His recent articles reflect a diverse array of research interests and contributions to the field:

FaceSigns: Semi-Fragile Watermarks for Media Authentication

ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection

Partitioned machine learning architecture

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models

Tailor: Altering Skip Connections for Resource-Efficient Inference

Adapting Skip Connections for Resource-Efficient FPGA Inference

Tutorial: toward robust deep learning against poisoning attacks

Farinaz Koushanfar Information

University

Position

Professor and Henry Booker Faculty Scholar of ECE

Citations(all)

29532

Citations(since 2020)

17047

Cited By

17624

hIndex(all)

69

hIndex(since 2020)

54

i10Index(all)

220

i10Index(since 2020)

158

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Farinaz Koushanfar Skills & Research Interests

Embedded and cyber-physical systems

security and trust

adaptive computing

machine learning

synthesis and customization

Top articles of Farinaz Koushanfar

Title

Journal

Author(s)

Publication Date

FaceSigns: Semi-Fragile Watermarks for Media Authentication

ACM Transactions on Multimedia Computing, Communications and Applications

Paarth Neekhara

Shehzeen Hussain

Xinqiao Zhang

Ke Huang

Julian McAuley

...

2024

ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection

arXiv preprint arXiv:2404.18407

Ruisi Zhang

Rachel Selina Rajarathnam

David Z Pan

Farinaz Koushanfar

2024/4/29

Partitioned machine learning architecture

2024/3/5

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

arXiv preprint arXiv:2402.18059

Mingjia Huo

Sai Ashish Somayajula

Youwei Liang

Ruisi Zhang

Farinaz Koushanfar

...

2024/2/28

EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models

arXiv preprint arXiv:2402.17938

Ruisi Zhang

Farinaz Koushanfar

2024/2/27

Tailor: Altering Skip Connections for Resource-Efficient Inference

ACM Transactions on Reconfigurable Technology and Systems

Olivia Weng

Gabriel Marcano

Vladimir Loncar

Alireza Khodamoradi

Nojan Sheybani

...

2024/1/27

Adapting Skip Connections for Resource-Efficient FPGA Inference

Olivia Weng

Gabriel Marcano

Vladimir Loncar

Alireza Khodamoradi

Nojan Sheybani

...

2023/2/12

Tutorial: toward robust deep learning against poisoning attacks

Huili Chen

Farinaz Koushanfar

2023/4/20

ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks

Nojan Sheybani

Zahra Ghodsi

Ritvik Kapila

Farinaz Koushanfar

2023/7/9

SABRE: Robust Bayesian Peer-to-Peer Federated Learning

arXiv preprint arXiv:2308.02747

Nasimeh Heydaribeni

Ruisi Zhang

Tara Javidi

Cristina Nita-Rotaru

Farinaz Koushanfar

2023/8/4

HELiKs: HE Linear Algebra Kernels for Secure Inference

Shashank Balla

Farinaz Koushanfar

2023/11/15

Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings

ACM Transactions on Design Automation of Electronic Systems

Ruisi Zhang

Shehzeen Hussain

Huili Chen

Mojan Javaheripi

Farinaz Koushanfar

2023/10/16

Adatest: Reinforcement learning and adaptive sampling for on-chip hardware trojan detection

ACM Transactions on Embedded Computing Systems

Huili Chen

Xinqiao Zhang

Ke Huang

Farinaz Koushanfar

2023/1/24

Small-world nets for fast neural network training and execution

2023/4/11

Scalable Binary Neural Network applications in Oblivious Inference

ACM Transactions on Embedded Computing Systems

Xinqiao Zhang

Mohammad Samragh

Siam Hussain

Ke Huang

Farinaz Koushanfar

2023/7

Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation

IEEE Transactions on Emerging Topics in Computing

Jeongmin Lim

Young Geun Kim

Sung Woo Chung

Farinaz Koushanfar

Joonho Kong

2023/12/28

Secure and Trustworthy Computing 2.0 Vision Statement

arXiv preprint arXiv:2308.00623

Patrick McDaniel

Farinaz Koushanfar

2023/8/1

HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks

arXiv preprint arXiv:2311.09375

Nasimeh Heydaribeni

Xinrui Zhan

Ruisi Zhang

Tina Eliassi-Rad

Farinaz Koushanfar

2023/11/15

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations

arXiv preprint arXiv:2310.09653

Paarth Neekhara

Shehzeen Hussain

Rafael Valle

Boris Ginsburg

Rishabh Ranjan

...

2023/10/14

Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning.

Christoph Sendner

Huili Chen

Hossein Fereidooni

Lukas Petzi

Jan König

...

2023

See List of Professors in Farinaz Koushanfar University(University of California, San Diego)

Co-Authors

H-index: 128
Alberto Sangiovanni Vincentelli

Alberto Sangiovanni Vincentelli

University of California, Berkeley

H-index: 115
Mani Srivastava

Mani Srivastava

University of California, Los Angeles

H-index: 98
Ari Juels

Ari Juels

Cornell University

H-index: 80
Mark M. Tehranipoor

Mark M. Tehranipoor

University of Florida

H-index: 64
Ramesh Karri  కర్రి రమేష్

Ramesh Karri కర్రి రమేష్

New York University

H-index: 52
Thomas Schneider

Thomas Schneider

Technische Universität Darmstadt

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