GTX: the MARCO GSRC technology extrapolation system. - Andrew E. Caldwell; Yu Cao 001; Andrew B. Kahng; Farinaz Koushanfar; Hua Lu 004; Igor L. Markov; Michael Oliver; Dirk Stroobandt; Dennis Sylvester (DAC, 2000)

Symbolic Debugging Scheme for Optimized Hardware and Software. - Farinaz Koushanfar; Darko Kirovski; Miodrag Potkonjak (ICCAD, 2000)

Challenges and Opportunities in Broadband and Wireless Communication Designs. - Jan M. Rabaey; Miodrag Potkonjak; Farinaz Koushanfar; Suet-Fei Li; Tim Tuan (ICCAD, 2000)

Processors for Mobile Applications. - Farinaz Koushanfar; Miodrag Potkonjak; Vandana Prabhu; Jan M. Rabaey (ICCD, 2000)

Hardware Metering. - Farinaz Koushanfar; Gang Qu 001 (DAC, 2001)

MetaCores: Design and Optimization Techniques. - Seapahn Meguerdichian; Farinaz Koushanfar; Advait M. Mogre; Dusan Petranovic; Miodrag Potkonjak (DAC, 2001)

A Probabilistic Constructive Approach to Optimization Problems. - Jennifer L. Wong; Farinaz Koushanfar; Seapahn Meguerdichian; Miodrag Potkonjak (ICCAD, 2001)

Intellectual Property Metering. - Farinaz Koushanfar; Gang Qu 001; Miodrag Potkonjak (Information Hiding, 2001)

Coverage Problems in Wireless Ad-hoc Sensor Networks. - Seapahn Meguerdichian; Farinaz Koushanfar; Miodrag Potkonjak; Mani B. Srivastava (INFOCOM, 2001)

Exposure in wireless Ad-Hoc sensor networks. - Seapahn Meguerdichian; Farinaz Koushanfar; Gang Qu 001; Miodrag Potkonjak (MobiCom, 2001)

Symbolic debugging of embedded hardware and software. - Farinaz Koushanfar; Darko Kirovski; Inki Hong; Miodrag Potkonjak; Marios C. Papaefthymiou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001)

ILP-based engineering change. - Farinaz Koushanfar; Jennifer L. Wong; Jessica Feng; Miodrag Potkonjak (DAC, 2002)

Global error-tolerant algorithms for location discovery in ad-hoc wireless Netoworks. - Farinaz Koushanfar; Sasha Slijepcevic; Jennifer L. Wong; Miodrag Potkonjak (ICASSP, 2002)

System-Architectures for Sensor Networks Issues, Alternatives, and Directions. - Jessica Feng; Farinaz Koushanfar; Miodrag Potkonjak (ICCD, 2002)

Exposure in Wireless Sensor Networks: Theory and Practical Solutions. - Seapahn Megerian; Farinaz Koushanfar; Gang Qu 001; Giacomino Veltri; Miodrag Potkonjak (Wirel. Networks, 2002)

Low power coordination in wireless ad-hoc networks. - Farinaz Koushanfar; Abhijit Davare; Dai Tho Nguyen; Miodrag Potkonjak; Alberto L. Sangiovanni-Vincentelli (ISLPED, 2003)

Sensor Network Architecture. - Farinaz Koushanfar; Miodrag Potkonjak; Jessica Feng (Handbook of Sensor Networks, 2004)

Localized Algorithms for Sensor Networks. - Farinaz Koushanfar; Miodrag Potkonjak; Jessica Feng (Handbook of Sensor Networks, 2004)

Fault Tolerance in Wireless Sensor Networks. - Farinaz Koushanfar; Miodrag Potkonjak; Alberto L. Sangiovanni-Vincentelli (Handbook of Sensor Networks, 2004)

Probabilistic constructive optimization techniques. - Jennifer L. Wong; Farinaz Koushanfar; Seapahn Megerian; Miodrag Potkonjak (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004)

Flexible ASIC: shared masking for multiple media processors. - Jennifer L. Wong; Farinaz Koushanfar; Miodrag Potkonjak (DAC, 2005)

Worst and Best-Case Coverage in Sensor Networks. - Seapahn Megerian; Farinaz Koushanfar; Miodrag Potkonjak; Mani B. Srivastava (IEEE Trans. Mob. Comput., 2005)

Behavioral synthesis techniques for intellectual property protection. - Farinaz Koushanfar; Inki Hong; Miodrag Potkonjak (ACM Trans. Design Autom. Electr. Syst., 2005)

Sleeping Coordination for Comprehensive Sensing Using Isotonic Regression and Domatic Partitions. - Farinaz Koushanfar; Nina Taft; Miodrag Potkonjak (INFOCOM, 2006)

CAD-based Security, Cryptography, and Digital Rights Management. - Farinaz Koushanfar; Miodrag Potkonjak (DAC, 2007)

Remote activation of ICs for piracy prevention and digital right management. - Yousra Alkabani; Farinaz Koushanfar; Miodrag Potkonjak (ICCAD, 2007)

LaserSPECks: : laser SPECtroscopic trace-gas sensor networks - sensor integration and applications. - Stephen So; Farinaz Koushanfar; Anatoliy Kosterev; Frank K. Tittel (IPSN, 2007)

Anti-Collusion Position Estimation in Wireless Sensor Networks. - Negar Kiyavash; Farinaz Koushanfar (MASS, 2007)

Hardware Security: Preparing Students for the Next Design Frontier. - Farinaz Koushanfar; Miodrag Potkonjak (MSE, 2007)

Integration of Statistical Techniques in the Design Curriculum. - Farinaz Koushanfar; Miodrag Potkonjak (MSE, 2007)

Active Hardware Metering for Intellectual Property Protection and Security. - Yousra Alkabani; Farinaz Koushanfar (USENIX Security Symposium, 2007)

Techniques for maintaining connectivity in wireless ad-hoc networks under energy constraints. - Farinaz Koushanfar; Abhijit Davare; David T. Nguyen; Alberto L. Sangiovanni-Vincentelli; Miodrag Potkonjak (ACM Trans. Embed. Comput. Syst., 2007)

Active control and digital rights management of integrated circuit IP cores. - Yousra Alkabani; Farinaz Koushanfar (CASES, 2008)

N-variant IC design: methodology and applications. - Yousra Alkabani; Farinaz Koushanfar (DAC, 2008)

Input vector control for post-silicon leakage current minimization in the presence of manufacturing variability. - Yousra Alkabani; Tammara Massey; Farinaz Koushanfar; Miodrag Potkonjak (DAC, 2008)

(Bio)-behavioral CAD. - Miodrag Potkonjak; Farinaz Koushanfar (DAC, 2008)

Protecting bus-based hardware IP by secret sharing. - Jarrod A. Roy; Farinaz Koushanfar; Igor L. Markov (DAC, 2008)

EPIC: Ending Piracy of Integrated Circuits. - Jarrod A. Roy; Farinaz Koushanfar; Igor L. Markov (DATE, 2008)

Designer's Hardware Trojan Horse. - Yousra Alkabani; Farinaz Koushanfar (HOST, 2008)

Circuit CAD Tools as a Security Threat. - Jarrod A. Roy; Farinaz Koushanfar; Igor L. Markov (HOST, 2008)

Post-silicon timing characterization by compressed sensing. - Farinaz Koushanfar; Petros Boufounos; Davood Shamsi (ICCAD, 2008)

Lightweight secure PUFs. - Mehrdad Majzoobi; Farinaz Koushanfar; Miodrag Potkonjak (ICCAD, 2008)

Trusted Integrated Circuits: A Nondestructive Hidden Characteristics Extraction Approach. - Yousra Alkabani; Farinaz Koushanfar; Negar Kiyavash; Miodrag Potkonjak (Information Hiding, 2008)

Noninvasive leakage power tomography of integrated circuits by compressive sensing. - Davood Shamsi; Petros Boufounos; Farinaz Koushanfar (ISLPED, 2008)

Testing Techniques for Hardware Security. - Mehrdad Majzoobi; Farinaz Koushanfar; Miodrag Potkonjak (ITC, 2008)

Challenging benchmark for location discovery in ad hoc networks: foundations and applications. - Davood Shamsi; Farinaz Koushanfar; Miodrag Potkonjak (MobiHoc, 2008)

Robust Stable Radiometric Fingerprinting for Frequency Reconfigurable Devices. - Andrea Candore; Övünç Kocabas; Farinaz Koushanfar (HOST, 2009)

Consistency-based characterization for IC Trojan detection. - Yousra Alkabani; Farinaz Koushanfar (ICCAD, 2009)

SVD-Based Ghost Circuitry Detection. - Michael Nelson 002; Ani Nahapetian; Farinaz Koushanfar; Miodrag Potkonjak (Information Hiding, 2009)

N-version temperature-aware scheduling and binding. - Yousra Alkabani; Farinaz Koushanfar; Miodrag Potkonjak (ISLPED, 2009)

Techniques for Design and Implementation of Secure Reconfigurable PUFs. - Mehrdad Majzoobi; Farinaz Koushanfar; Miodrag Potkonjak (ACM Trans. Reconfigurable Technol. Syst., 2009)

Hierarchical hybrid power supply networks. - Farinaz Koushanfar (DAC, 2010)

Real time emulations: foundation and applications. - Azalia Mirhoseini; Yousra Alkabani; Farinaz Koushanfar (DAC, 2010)

Provably Secure Obfuscation of Diverse Watermarks for Sequential Circuits. - Farinaz Koushanfar; Yousra Alkabani (HOST, 2010)

A Unified Submodular Framework for Multimodal IC Trojan Detection. - Farinaz Koushanfar; Azalia Mirhoseini; Yousra Alkabani (Information Hiding, 2010)

FPGA Time-Bounded Unclonable Authentication. - Mehrdad Majzoobi; Ahmed Elnably; Farinaz Koushanfar (Information Hiding, 2010)

Rapid FPGA delay characterization using clock synthesis and sparse sampling. - Mehrdad Majzoobi; Eva L. Dyer; Ahmed Elnably; Farinaz Koushanfar (ITC, 2010)

FPGA PUF using programmable delay lines. - Mehrdad Majzoobi; Farinaz Koushanfar; Srinivas Devadas (WIFS, 2010)

Ending Piracy of Integrated Circuits. - Jarrod A. Roy; Farinaz Koushanfar; Igor L. Markov (Computer, 2010)

Guest Editors' Introduction: Confronting the Hardware Trustworthiness Problem. - Mohammad Tehranipoor; Farinaz Koushanfar (IEEE Des. Test Comput., 2010)

A Survey of Hardware Trojan Taxonomy and Detection. - Mohammad Tehranipoor; Farinaz Koushanfar (IEEE Des. Test Comput., 2010)

Nonparametric combinatorial regression for shape constrained modeling. - Farinaz Koushanfar; Mehrdad Majzoobi; Miodrag Potkonjak (IEEE Trans. Signal Process., 2010)

Trusting the open latent IC backdoors. - Farinaz Koushanfar (STC@CCS, 2011)

FPGA-Based True Random Number Generation Using Circuit Metastability with Adaptive Feedback Control. - Mehrdad Majzoobi; Farinaz Koushanfar; Srinivas Devadas (CHES, 2011)

Hybrid modeling of non-stationary process variations. - Eva L. Dyer; Mehrdad Majzoobi; Farinaz Koushanfar (DAC, 2011)

HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency. - Azalia Mirhoseini; Farinaz Koushanfar (DATE, 2011)

Integrated circuit digital rights management techniques using physical level characterization. - Sheng Wei 001; Farinaz Koushanfar; Miodrag Potkonjak (Digital Rights Management Workshop, 2011)

Integrated circuits metering for piracy protection and digital rights management: an overview. - Farinaz Koushanfar (ACM Great Lakes Symposium on VLSI, 2011)

Hybrid heterogeneous energy supply networks. - Farinaz Koushanfar; Azalia Mirhoseini (ISCAS, 2011)

Ultra-low power current-based PUF. - Mehrdad Majzoobi; Golsa Ghiaasi; Farinaz Koushanfar; Sani R. Nassif (ISCAS, 2011)

Learning to manage combined energy supply systems. - Azalia Mirhoseini; Farinaz Koushanfar (ISLPED, 2011)

A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection. - Farinaz Koushanfar; Azalia Mirhoseini (IEEE Trans. Inf. Forensics Secur., 2011)

Time-Bounded Authentication of FPGAs. - Mehrdad Majzoobi; Farinaz Koushanfar (IEEE Trans. Inf. Forensics Secur., 2011)

Can EDA combat the rise of electronic counterfeiting? - Farinaz Koushanfar; Saverio Fazzari; Carl McCants; William Bryson; Matthew Sale; Peilin Song; Miodrag Potkonjak (DAC, 2012)

EDA for secure and dependable cybercars: challenges and opportunities. - Farinaz Koushanfar; Ahmad-Reza Sadeghi; Hervé Seudie (DAC, 2012)

Coding-based energy minimization for phase change memory. - Azalia Mirhoseini; Miodrag Potkonjak; Farinaz Koushanfar (DAC, 2012)

Hardware Trojan horse benchmark via optimal creation and placement of malicious circuitry. - Sheng Wei 001; Kai Li; Farinaz Koushanfar; Miodrag Potkonjak (DAC, 2012)

Provably complete hardware Trojan detection using test point insertion. - Sheng Wei 001; Kai Li; Farinaz Koushanfar; Miodrag Potkonjak (ICCAD, 2012)

Slender PUF Protocol: A Lightweight, Robust, and Secure Authentication by Substring Matching. - Mehrdad Majzoobi; Masoud Rostami; Farinaz Koushanfar; Dan S. Wallach; Srinivas Devadas (IEEE Symposium on Security and Privacy Workshops, 2012)

Provably Secure Active IC Metering Techniques for Piracy Avoidance and Digital Rights Management. - Farinaz Koushanfar (IEEE Trans. Inf. Forensics Secur., 2012)

Gate Characterization Using Singular Value Decomposition: Foundations and Applications. - Sheng Wei 001; Ani Nahapetian; Michael Nelson 002; Farinaz Koushanfar; Miodrag Potkonjak (IEEE Trans. Inf. Forensics Secur., 2012)

CyCAR'2013: first international academic workshop on security, privacy and dependability for cybervehicles. - Arslan Munir; Farinaz Koushanfar; Hervé Seudie; Ahmad-Reza Sadeghi (CCS, 2013)

Heart-to-heart (H2H): authentication for implanted medical devices. - Masoud Rostami; Ari Juels; Farinaz Koushanfar (CCS, 2013)

Balancing security and utility in medical devices? - Masoud Rostami; Wayne P. Burleson; Farinaz Koushanfar; Ari Juels (DAC, 2013)

High-sensitivity hardware trojan detection using multimodal characterization. - Kangqiao Hu; Abdullah Nazma Nowroz; Sherief Reda; Farinaz Koushanfar (DATE, 2013)

ClockPUF: physical unclonable functions based on clock networks. - Yida Yao; MyungBo Kim; Jianmin Li; Igor L. Markov; Farinaz Koushanfar (DATE, 2013)

Hardware security: threat models and metrics. - Masoud Rostami; Farinaz Koushanfar; Jeyavijayan Rajendran; Ramesh Karri (ICCAD, 2013)

Automated checkpointing for enabling intensive applications on energy harvesting devices. - Azalia Mirhoseini; Ebrahim M. Songhori; Farinaz Koushanfar (ISLPED, 2013)

Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs. - Azalia Mirhoseini; Ebrahim M. Songhori; Farinaz Koushanfar (PerCom, 2013)

Editorial: Low-Power, Intelligent, and Secure Solutions for Realization of Internet of Things. - Yen-Kuang Chen; An-Yeu Wu; Magdy A. Bayoumi; Farinaz Koushanfar (IEEE J. Emerg. Sel. Topics Circuits Syst., 2013)

Combined Modeling and Side Channel Attacks on Strong PUFs. - Ahmed Mahmoud; Ulrich Rührmair; Mehrdad Majzoobi; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2013)

Power and Timing Side Channels for PUFs and their Efficient Exploitation. - Ulrich Rührmair; Xiaolin Xu 001; Jan Sölter; Ahmed Mahmoud; Farinaz Koushanfar; Wayne P. Burleson (IACR Cryptol. ePrint Arch., 2013)

A Timing Channel Spyware for the CSMA/CA Protocol. - Negar Kiyavash; Farinaz Koushanfar; Todd P. Coleman; Mavis Rodrigues (IEEE Trans. Inf. Forensics Secur., 2013)

High-performance optimizations on tiled many-core embedded systems: a matrix multiplication case study. - Arslan Munir; Farinaz Koushanfar; Ann Gordon-Ross; Sanjay Ranka (J. Supercomput., 2013)

Low-power resource binding by postsilicon customization. - Mehrdad Majzoobi; Joonho Kong; Farinaz Koushanfar (ACM Trans. Design Autom. Electr. Syst., 2013)

Efficient Power and Timing Side Channels for Physical Unclonable Functions. - Ulrich Rührmair; Xiaolin Xu 001; Jan Sölter; Ahmed Mahmoud; Mehrdad Majzoobi; Farinaz Koushanfar; Wayne P. Burleson (CHES, 2014)

PUFatt: Embedded Platform Attestation Based on Novel Processor-Based PUFs. - Joonho Kong; Farinaz Koushanfar; Praveen Kumar Pendyala; Ahmad-Reza Sadeghi; Christian Wachsmann (DAC, 2014)

Techniques for Foundry Identification. - James B. Wendt; Farinaz Koushanfar; Miodrag Potkonjak (DAC, 2014)

D2Cyber: A design automation tool for dependable cybercars. - Arslan Munir; Farinaz Koushanfar (DATE, 2014)

Quo vadis, PUF?: Trends and challenges of emerging physical-disorder based security. - Masoud Rostami; James B. Wendt; Miodrag Potkonjak; Farinaz Koushanfar (DATE, 2014)

BIST-PUF: online, hardware-based evaluation of physically unclonable circuit identifiers. - Siam U. Hussain; Sudha Yellapantula; Mehrdad Majzoobi; Farinaz Koushanfar (ICCAD, 2014)

Shielding and securing integrated circuits with sensors. - Davood Shahrjerdi; Jeyavijayan Rajendran; Siddharth Garg; Farinaz Koushanfar; Ramesh Karri (ICCAD, 2014)

Can the SHIELD protect our integrated circuits? - Farinaz Koushanfar; Ramesh Karri (MWSCAS, 2014)

Automated Design, Implementation, and Evaluation of Arbiter-based PUF on FPGA using Programmable Delay Lines. - Mehrdad Majzoobi; Akshat Kharaya; Farinaz Koushanfar; Srinivas Devadas (IACR Cryptol. ePrint Arch., 2014)

A queueing theoretic approach for performance evaluation of low-power multi-core embedded systems. - Arslan Munir; Ann Gordon-Ross; Sanjay Ranka; Farinaz Koushanfar (J. Parallel Distributed Comput., 2014)

Physical Unclonable Functions and Applications: A Tutorial. - Charles Herder; Meng-Day (Mandel) Yu; Farinaz Koushanfar; Srinivas Devadas (Proc. IEEE, 2014)

Trustworthy Hardware [Scanning the Issue]. - Ramesh Karri; Farinaz Koushanfar (Proc. IEEE, 2014)

A Primer on Hardware Security: Models, Methods, and Metrics. - Masoud Rostami; Farinaz Koushanfar; Ramesh Karri (Proc. IEEE, 2014)

Novel Techniques for High-Sensitivity Hardware Trojan Detection Using Thermal and Power Maps. - Abdullah Nazma Nowroz; Kangqiao Hu; Farinaz Koushanfar; Sherief Reda (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Processor-Based Strong Physical Unclonable Functions With Aging-Based Response Tuning. - Joonho Kong; Farinaz Koushanfar (IEEE Trans. Emerg. Top. Comput., 2014)

Robust and Reverse-Engineering Resilient PUF Authentication and Key-Exchange by Substring Matching. - Masoud Rostami; Mehrdad Majzoobi; Farinaz Koushanfar; Dan S. Wallach; Srinivas Devadas (IEEE Trans. Emerg. Top. Comput., 2014)

Automated Synthesis of Optimized Circuits for Secure Computation. - Daniel Demmler; Ghada Dessouky; Farinaz Koushanfar; Ahmad-Reza Sadeghi; Thomas Schneider 003; Shaza Zeitouni (CCS, 2015)

I Know Where You are: Proofs of Presence Resilient to Malicious Provers. - Markus Miettinen; N. Asokan; Farinaz Koushanfar; Thien Duc Nguyen; Jon Rios; Ahmad-Reza Sadeghi; Majid Sobhani; Sudha Yellapantula (AsiaCCS, 2015)

Compacting privacy-preserving k-nearest neighbor search using logic synthesis. - Ebrahim M. Songhori; Siam U. Hussain; Ahmad-Reza Sadeghi; Farinaz Koushanfar (DAC, 2015)

AHEAD: automated framework for hardware accelerated iterative data analysis. - Ebrahim M. Songhori; Azalia Mirhoseini; Xuyang Lu; Farinaz Koushanfar (DATE, 2015)

SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. - Bita Darvish Rouhani; Ebrahim M. Songhori; Azalia Mirhoseini; Farinaz Koushanfar (FCCM, 2015)

Fine-Grained Voltage Boosting for Improving Yield in Near-Threshold Many-Core Processors. - Joonho Kong; Arslan Munir; Farinaz Koushanfar (ACM Great Lakes Symposium on VLSI, 2015)

Evolving EDA Beyond its E-Roots: An Overview. - Andrew B. Kahng; Farinaz Koushanfar (ICCAD, 2015)

DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives. - Farinaz Koushanfar; Azalia Mirhoseini; Gang Qu 001; Zhiru Zhang (ICCAD, 2015)

Flexible Transformations For Learning Big Data. - Azalia Mirhoseini; Ebrahim M. Songhori; Bita Darvish Rouhani; Farinaz Koushanfar (SIGMETRICS, 2015)

TinyGarble: Highly Compressed and Scalable Sequential Garbled Circuits. - Ebrahim M. Songhori; Siam U. Hussain; Ahmad-Reza Sadeghi; Thomas Schneider 003; Farinaz Koushanfar (IEEE Symposium on Security and Privacy, 2015)

RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets. - Azalia Mirhoseini; Eva L. Dyer; Ebrahim M. Songhori; Richard G. Baraniuk; Farinaz Koushanfar (CoRR, 2015)

Phase Change Memory Write Cost Minimization by Data Encoding. - Azalia Mirhoseini; Miodrag Potkonjak; Farinaz Koushanfar (IEEE J. Emerg. Sel. Topics Circuits Syst., 2015)

An Energy-Efficient Last-Level Cache Architecture for Process Variation-Tolerant 3D Microprocessors. - Joonho Kong; Farinaz Koushanfar; Sung Woo Chung (IEEE Trans. Computers, 2015)

Guest Editorial Special Section on Hardware Security and Trust. - Ramesh Karri; Farinaz Koushanfar; Ozgur Sinanoglu; Yiorgos Makris; Ken Mai; Ahmad-Reza Sadeghi; Swarup Bhunia (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

D2CyberSoft: A design automation tool for soft error analysis of Dependable Cybercars. - Arslan Munir; Farinaz Koushanfar (CCNC, 2016)

Design and performance analysis of secure and dependable cybercars: A steer-by-wire case study. - Arslan Munir; Farinaz Koushanfar (CCNC, 2016)

Going deeper than deep learning for massive data analytics under physical constraints. - Bita Darvish Rouhani; Azalia Mirhoseini; Farinaz Koushanfar (CODES+ISSS, 2016)

Invited - Things, trouble, trust: on building trust in IoT systems. - Tigist Abera; N. Asokan; Lucas Davi; Farinaz Koushanfar; Andrew Paverd; Ahmad-Reza Sadeghi; Gene Tsudik (DAC, 2016)

Privacy preserving localization for smart automotive systems. - Siam U. Hussain; Farinaz Koushanfar (DAC, 2016)

Perform-ML: performance optimized machine learning by platform and content aware customization. - Azalia Mirhoseini; Bita Darvish Rouhani; Ebrahim M. Songhori; Farinaz Koushanfar (DAC, 2016)

GarbledCPU: a MIPS processor for secure computation in hardware. - Ebrahim M. Songhori; Shaza Zeitouni; Ghada Dessouky; Thomas Schneider 003; Ahmad-Reza Sadeghi; Farinaz Koushanfar (DAC, 2016)

CryptoML: Secure outsourcing of big data machine learning applications. - Azalia Mirhoseini; Ahmad-Reza Sadeghi; Farinaz Koushanfar (HOST, 2016)

GenMatch: Secure DNA compatibility testing. - M. Sadegh Riazi; Neeraj K. R. Dantu; L. N. Vinay Gattu; Farinaz Koushanfar (HOST, 2016)

Robust privacy-preserving fingerprint authentication. - Ye Zhang; Farinaz Koushanfar (HOST, 2016)

DeLight: Adding Energy Dimension To Deep Neural Networks. - Bita Darvish Rouhani; Azalia Mirhoseini; Farinaz Koushanfar (ISLPED, 2016)

Sub-linear Privacy-preserving Search with Untrusted Server and Semi-honest Parties. - M. Sadegh Riazi; Beidi Chen; Anshumali Shrivastava; Dan S. Wallach; Farinaz Koushanfar (CoRR, 2016)

A Built-in-Self-Test Scheme for Online Evaluation of Physical Unclonable Functions and True Random Number Generators. - Siam U. Hussain; Mehrdad Majzoobi; Farinaz Koushanfar (IEEE Trans. Multi Scale Comput. Syst., 2016)

Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices. - Azalia Mirhoseini; Bita Darvish Rouhani; Ebrahim M. Songhori; Farinaz Koushanfar (IEEE Trans. Multi Scale Comput. Syst., 2016)

Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. - Bita Darvish Rouhani; Azalia Mirhoseini; Ebrahim M. Songhori; Farinaz Koushanfar (ACM Trans. Reconfigurable Technol. Syst., 2016)

ASHES 2017: Workshop on Attacks and Solutions in Hardware Security. - Chip-Hong Chang; Marten van Dijk; Farinaz Koushanfar; Ulrich Rührmair; Mark Tehranipoor (CCS, 2017)

PriSearch: Efficient Search on Private Data. - M. Sadegh Riazi; Ebrahim M. Songhori; Farinaz Koushanfar (DAC, 2017)

Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning. - Bita Darvish Rouhani; Azalia Mirhoseini; Farinaz Koushanfar (DAC, 2017)

LookNN: Neural network with no multiplication. - Mohammad Samragh Razlighi; Mohsen Imani; Farinaz Koushanfar; Tajana Rosing (DATE, 2017)

Customizing Neural Networks for Efficient FPGA Implementation. - Mohammad Samragh; Mohammad Ghasemzadeh 002; Farinaz Koushanfar (FCCM, 2017)

BioChipWork: Reverse Engineering of Microfluidic Biochips. - Huili Chen; Seetal Potluri; Farinaz Koushanfar (ICCD, 2017)

ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning. - Azalia Mirhoseini; Bita Darvish Rouhani; Ebrahim M. Songhori; Farinaz Koushanfar (IPDPS Workshops, 2017)

20 Years of research on intellectual property protection. - Miodrag Potkonjak; Gang Qu 001; Farinaz Koushanfar; Chip-Hong Chang (ISCAS, 2017)

TinyDL: Just-in-time deep learning solution for constrained embedded systems. - Bita Darvish Rouhani; Azalia Mirhoseini; Farinaz Koushanfar (ISCAS, 2017)

CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning. - Bita Darvish Rouhani; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (CoRR, 2017)

ResBinNet: Residual Binary Neural Network. - Mohammad Ghasemzadeh 002; Mohammad Samragh; Farinaz Koushanfar (CoRR, 2017)

Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. - M. Sadegh Riazi; Christian Weinert; Oleksandr Tkachenko; Ebrahim M. Songhori; Thomas Schneider 003; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2017)

DeepSecure: Scalable Provably-Secure Deep Learning. - Bita Darvish Rouhani; M. Sadegh Riazi; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2017)

ARM2GC: Simple and Efficient Garbled Circuit Framework by Skipping. - Ebrahim M. Songhori; M. Sadegh Riazi; Siam U. Hussain; Ahmad-Reza Sadeghi; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2017)

Toward Practical Secure Stable Matching. - M. Sadegh Riazi; Ebrahim M. Songhori; Ahmad-Reza Sadeghi; Thomas Schneider 003; Farinaz Koushanfar (Proc. Priv. Enhancing Technol., 2017)

CAMsure: Secure Content-Addressable Memory for Approximate Search. - M. Sadegh Riazi; Mohammad Samragh; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2017)

RISE: An Automated Framework for Real-Time Intelligent Video Surveillance on FPGA. - Bita Darvish Rouhani; Azalia Mirhoseini; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2017)

MAXelerator: FPGA accelerator for privacy preserving multiply-accumulate (MAC) on cloud servers. - Siam U. Hussain; Bita Darvish Rouhani; Mohammad Ghasemzadeh 002; Farinaz Koushanfar (DAC, 2018)

ReBNet: Residual Binarized Neural Network. - Mohammad Ghasemzadeh 002; Mohammad Samragh; Farinaz Koushanfar (FCCM, 2018)

CausaLearn: Automated Framework for Scalable Streaming-based Causal Bayesian Learning using FPGAs. - Bita Darvish Rouhani; Mohammad Ghasemzadeh 002; Farinaz Koushanfar (FPGA, 2018)

Privacy-preserving deep learning and inference. - M. Sadegh Riazi; Farinaz Koushanfar (ICCAD, 2018)

Assured deep learning: practical defense against adversarial attacks. - Bita Darvish Rouhani; Mohammad Samragh; Mojan Javaheripi; Tara Javidi; Farinaz Koushanfar (ICCAD, 2018)

DeepFense: online accelerated defense against adversarial deep learning. - Bita Darvish Rouhani; Mohammad Samragh; Mojan Javaheripi; Tara Javidi; Farinaz Koushanfar (ICCAD, 2018)

AgileNet: Lightweight Dictionary-based Few-shot Learning. - Mohammad Ghasemzadeh 002; Fang Lin; Bita Darvish Rouhani; Farinaz Koushanfar; Ke Huang 001 (CoRR, 2018)

RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. - Mohsen Imani; Mohammad Samragh; Yeseong Kim; Saransh Gupta; Farinaz Koushanfar; Tajana Rosing (CoRR, 2018)

Adversarial Reprogramming of Sequence Classification Neural Networks. - Paarth Neekhara; Shehzeen Hussain; Shlomo Dubnov; Farinaz Koushanfar (CoRR, 2018)

Performance Comparison of Contemporary DNN Watermarking Techniques. - Huili Chen; Bita Darvish Rouhani; Xinwei Fan; Osman Cihan Kilinc; Farinaz Koushanfar (CoRR, 2018)

DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks. - Huili Chen; Bita Darvish Rohani; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2018)

Pushing the Communication Barrier in Secure Computation using Lookup Tables. - Ghada Dessouky; Farinaz Koushanfar; Ahmad-Reza Sadeghi; Thomas Schneider 003; Shaza Zeitouni; Michael Zohner (IACR Cryptol. ePrint Arch., 2018)

DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models. - Bita Darvish Rouhani; Huili Chen; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2018)

RankMap: A Framework for Distributed Learning From Dense Data Sets. - Azalia Mirhoseini; Eva L. Dyer; Ebrahim M. Songhori; Richard G. Baraniuk; Farinaz Koushanfar (IEEE Trans. Neural Networks Learn. Syst., 2018)

P3: Privacy Preserving Positioning for Smart Automotive Systems. - Siam Umar Hussain; Farinaz Koushanfar (ACM Trans. Design Autom. Electr. Syst., 2018)

SHAIP: Secure Hamming Distance for Authentication of Intrinsic PUFs. - Siam Umar Hussain; M. Sadegh Riazi; Farinaz Koushanfar (ACM Trans. Design Autom. Electr. Syst., 2018)

Editorial for TODAES Special Issue on Internet of Things System Performance, Reliability, and Security. - Rasit Onur Topaloglu; Farinaz Koushanfar (ACM Trans. Design Autom. Electr. Syst., 2018)

ReDCrypt: Real-Time Privacy-Preserving Deep Learning Inference in Clouds Using FPGAs. - Bita Darvish Rouhani; Siam Umar Hussain; Kristin E. Lauter; Farinaz Koushanfar (ACM Trans. Reconfigurable Technol. Syst., 2018)

A Framework for Collaborative Learning in Secure High-Dimensional Space. - Mohsen Imani; Yeseong Kim; M. Sadegh Riazi; John Messerly; Patric Liu; Farinaz Koushanfar; Tajana Rosing (CLOUD, 2019)

DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks. - Bita Darvish Rouhani; Huili Chen; Farinaz Koushanfar (ASPLOS, 2019)

ARM2GC: Succinct Garbled Processor for Secure Computation. - Ebrahim M. Songhori; M. Sadegh Riazi; Siam U. Hussain; Ahmad-Reza Sadeghi; Farinaz Koushanfar (DAC, 2019)

Adversarial Reprogramming of Text Classification Neural Networks. - Paarth Neekhara; Shehzeen Hussain; Shlomo Dubnov; Farinaz Koushanfar (EMNLP/IJCNLP (1), 2019)

SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. - Cheng Fu 002; Shilin Zhu; Huili Chen; Farinaz Koushanfar; Hao Su 001; Jishen Zhao (FCCM, 2019)

FASE: FPGA Acceleration of Secure Function Evaluation. - Siam U. Hussain; Farinaz Koushanfar (FCCM, 2019)

SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. - Mohsen Imani; Sahand Salamat; Behnam Khaleghi; Mohammad Samragh; Farinaz Koushanfar; Tajana Rosing (FCCM, 2019)

GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICCAD, 2019)

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. - Shehzeen Hussain; Mojan Javaheripi; Paarth Neekhara; Ryan Kastner; Farinaz Koushanfar (ICCAD, 2019)

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. - Mohsen Imani; Samuel Bosch; Mojan Javaheripi; Bita Darvish Rouhani; Xinyu Wu; Farinaz Koushanfar; Tajana Rosing (ICCAD, 2019)

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (IJCAI, 2019)

Universal Adversarial Perturbations for Speech Recognition Systems. - Paarth Neekhara; Shehzeen Hussain; Prakhar Pandey; Shlomo Dubnov; Julian J. McAuley; Farinaz Koushanfar (INTERSPEECH, 2019)

DeepAttest: an end-to-end attestation framework for deep neural networks. - Huili Chen; Cheng Fu 002; Bita Darvish Rouhani; Jishen Zhao; Farinaz Koushanfar (ISCA, 2019)

DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models. - Huili Chen; Bita Darvish Rouhani; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICMR, 2019)

Coda: An End-to-End Neural Program Decompiler. - Cheng Fu 002; Huili Chen; Haolan Liu; Xinyun Chen; Yuandong Tian; Farinaz Koushanfar; Jishen Zhao (NeurIPS, 2019)

CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. - Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar (CoRR, 2019)

Peer-to-peer Federated Learning on Graphs. - Anusha Lalitha; Osman Cihan Kilinc; Tara Javidi; Farinaz Koushanfar (CoRR, 2019)

BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks. - Huili Chen; Bita Darvish Rouhani; Farinaz Koushanfar (CoRR, 2019)

SWNet: Small-World Neural Networks and Rapid Convergence. - Mojan Javaheripi; Bita Darvish Rouhani; Farinaz Koushanfar (CoRR, 2019)

Decentralized Bayesian Learning over Graphs. - Anusha Lalitha; Xinghan Wang; Osman Cihan Kilinc; Yongxi Lu; Tara Javidi; Farinaz Koushanfar (CoRR, 2019)

A Neural-based Program Decompiler. - Cheng Fu 002; Huili Chen; Haolan Liu; Xinyun Chen; Yuandong Tian; Farinaz Koushanfar; Jishen Zhao (CoRR, 2019)

ASCAI: Adaptive Sampling for acquiring Compact AI. - Mojan Javaheripi; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (CoRR, 2019)

Scratch that! An Evolution-based Adversarial Attack against Neural Networks. - Malhar Jere; Briland Hitaj; Gabriela F. Ciocarlie; Farinaz Koushanfar (CoRR, 2019)

Principal Component Properties of Adversarial Samples. - Malhar Jere; Sandro Herbig; Christine Lind; Farinaz Koushanfar (CoRR, 2019)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Salim El Rouayheb; et al. (CoRR, 2019)

Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms. - Rahul Chatterjee 001; M. Sadegh Riazi; Tanmoy Chowdhury; Emanuela Marasco; Farinaz Koushanfar; Ari Juels (IACR Cryptol. ePrint Arch., 2019)

Sub-Linear Privacy-Preserving Near-Neighbor Search. - M. Sadegh Riazi; Beidi Chen; Anshumali Shrivastava; Dan S. Wallach; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2019)

MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation. - M. Sadegh Riazi; Mojan Javaheripi; Siam U. Hussain; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2019)

XONN: XNOR-based Oblivious Deep Neural Network Inference. - M. Sadegh Riazi; Mohammad Samragh; Hao Chen 030; Kim Laine; Kristin E. Lauter; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2019)

Deep Learning on Private Data. - M. Sadegh Riazi; Bita Darvish Rouhani; Farinaz Koushanfar (IEEE Secur. Priv., 2019)

Safe Machine Learning and Defeating Adversarial Attacks. - Bita Darvish Rouhani; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (IEEE Secur. Priv., 2019)

AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. - Huili Chen; Rosario Cammarota; Felipe Valencia; Francesco Regazzoni 001; Farinaz Koushanfar (DAC, 2020)

Developing Privacy-preserving AI Systems: The Lessons learned. - Huili Chen; Siam Umar Hussain; Fabian Boemer; Emmanuel Stapf; Ahmad-Reza Sadeghi; Farinaz Koushanfar; Rosario Cammarota (DAC, 2020)

Unified Architectural Support for Secure and Robust Deep Learning. - Mojan Javaheripi; Huili Chen; Farinaz Koushanfar (DAC, 2020)

GeneCAI: genetic evolution for acquiring compact AI. - Mojan Javaheripi; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (GECCO, 2020)

Deep Learning Acceleration with Neuron-to-Memory Transformation. - Mohsen Imani; Mohammad Samragh Razlighi; Yeseong Kim; Saransh Gupta; Farinaz Koushanfar; Tajana Rosing (HPCA, 2020)

CleaNN: Accelerated Trojan Shield for Embedded Neural Networks. - Mojan Javaheripi; Mohammad Samragh; Gregory Fields; Tara Javidi; Farinaz Koushanfar (ICCAD, 2020)

SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems. - Huili Chen; Bita Darvish Rouhani; Farinaz Koushanfar (INTERSPEECH, 2020)

FlowTrojan: Insertion and Detection of Hardware Trojans on Flow-Based Microfluidic Biochips. - Huili Chen; Seetal Potluri; Farinaz Koushanfar (NEWCAS, 2020)

Grand Challenges for Embedded Security Research in a Connected World. - Wayne P. Burleson; Kevin Fu; Denise L. Anthony; Jorge Guajardo; Carl A. Gunter; Kyle Ingols; Jean-Baptiste Jeannin; Farinaz Koushanfar; Carl E. Landwehr; Susan Squires (CoRR, 2020)

Trustworthy AI Inference Systems: An Industry Research View. - Rosario Cammarota; Matthias Schunter; Anand Rajan; Fabian Boemer; Ágnes Kiss; Amos Treiber; Christian Weinert; Thomas Schneider 003; Emmanuel Stapf; Ahmad-Reza Sadeghi; Daniel Demmler; Huili Chen; et al. (CoRR, 2020)

A Singular Value Perspective on Model Robustness. - Malhar Jere; Maghav Kumar; Farinaz Koushanfar (CoRR, 2020)

TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. - Siam U. Hussain; Baiyu Li; Farinaz Koushanfar; Rosario Cammarota (IACR Cryptol. ePrint Arch., 2020)

SynFi: Automatic Synthetic Fingerprint Generation. - M. Sadegh Riazi; Seyed M. Chavoshian; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2020)

AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. - Mojan Javaheripi; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (IEEE J. Sel. Top. Signal Process., 2020)

Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. - Cheng Fu 002; Huili Chen; Zhenheng Yang; Farinaz Koushanfar; Yuandong Tian; Jishen Zhao (IEEE Micro, 2020)

Design and Analysis of Secure and Dependable Automotive CPS: A Steer-by-Wire Case Study. - Arslan Munir; Farinaz Koushanfar (IEEE Trans. Dependable Secur. Comput., 2020)

EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks. - Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2020)

Security of Microfluidic Biochip: Practical Attacks and Countermeasures. - Huili Chen; Seetal Potluri; Farinaz Koushanfar (ACM Trans. Design Autom. Electr. Syst., 2020)

Expressive Neural Voice Cloning. - Paarth Neekhara; Shehzeen Hussain; Shlomo Dubnov; Farinaz Koushanfar; Julian J. McAuley (ACML, 2021)

COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. - Siam Umar Hussain; Mojan Javaheripi; Mohammad Samragh; Farinaz Koushanfar (CCS, 2021)

Machine Learning on Encrypted Data: Hardware to the Rescue. - Farinaz Koushanfar (ASHES@CCS, 2021)

On the Application of Binary Neural Networks in Oblivious Inference. - Mohammad Samragh; Siam U. Hussain; Xinqiao Zhang; Ke Huang 001; Farinaz Koushanfar (CVPR Workshops, 2021)

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. - Mojan Javaheripi; Farinaz Koushanfar (ICCAD, 2021)

ProFlip: Targeted Trojan Attack with Progressive Bit Flips. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICCV, 2021)

Trojan Signatures in DNN Weights. - Greg Fields; Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar; Tara Javidi (ICCVW, 2021)

WaveGuard: Understanding and Mitigating Audio Adversarial Examples. - Shehzeen Hussain; Paarth Neekhara; Shlomo Dubnov; Julian J. McAuley; Farinaz Koushanfar (USENIX Security Symposium, 2021)

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. - Shehzeen Hussain; Paarth Neekhara; Malhar Jere; Farinaz Koushanfar; Julian J. McAuley (WACV, 2021)

TAD: Trigger Approximation based Black-box Trojan Detection for AI. - Xinqiao Zhang; Huili Chen; Farinaz Koushanfar (CoRR, 2021)

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. - Oliver Lutz; Huili Chen; Hossein Fereidooni; Christoph Sendner; Alexandra Dmitrienko; Ahmad-Reza Sadeghi; Farinaz Koushanfar (CoRR, 2021)

Unsupervised Information Obfuscation for Split Inference of Neural Networks. - Mohammad Samragh; Hossein Hosseini; Aleksei Triastcyn; Kambiz Azarian; Joseph Soriaga; Farinaz Koushanfar (CoRR, 2021)

Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors. - Mehran Abbasi Shirsavar; Mehrnoosh Taghavimehr; Lionel J. Ouedraogo; Mojan Javaheripi; Nicole N. Hashemi; Farinaz Koushanfar; Reza Montazami (CoRR, 2021)

Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. - Mojan Javaheripi; Mohammad Samragh; Bita Darvish Rouhani; Tara Javidi; Farinaz Koushanfar (IEEE Des. Test, 2021)

Provably Secure Sequential Obfuscation for IC Metering and Piracy Avoidance. - Farinaz Koushanfar (IEEE Des. Test, 2021)

SWANN: Small-World Architecture for Fast Convergence of Neural Networks. - Mojan Javaheripi; Bita Darvish Rouhani; Farinaz Koushanfar (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

AutoRank: Automated Rank Selection for Effective Neural Network Customization. - Mojan Javaheripi; Mohammad Samragh; Farinaz Koushanfar (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Water end-use consumption in low-income households: Evaluation of the impact of preprocessing on the construction of a classification model. - Karla P. S. Oliveira Esquerre; Mariza Mello; Gabriella Botelho; Zikang Deng; Farinaz Koushanfar; Asher Kiperstok (Expert Syst. Appl., 2021)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Hubert Eichner; et al. (Found. Trends Mach. Learn., 2021)

The Fusion of Secure Function Evaluation and Logic Synthesis. - Siam U. Hussain; M. Sadegh Riazi; Farinaz Koushanfar (IEEE Secur. Priv., 2021)

A Taxonomy of Attacks on Federated Learning. - Malhar Jere; Tyler Farnan; Farinaz Koushanfar (IEEE Secur. Priv., 2021)

CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. - Mojan Javaheripi; Mohammad Samragh; Bita Darvish Rouhani; Tara Javidi; Farinaz Koushanfar (IEEE Trans. Dependable Secur. Comput., 2021)

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. - Shehzeen Hussain; Nojan Sheybani; Paarth Neekhara; Xinqiao Zhang; Javier Mauricio Duarte; Farinaz Koushanfar (ICCAD, 2022)

Intellectual Property (IP) Protection for Deep Learning and Federated Learning Models. - Farinaz Koushanfar (IH&MMSec, 2022)

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. - Mojan Javaheripi; Gustavo de Rosa; Subhabrata Mukherjee; Shital Shah; Tomasz Religa; Caio César Teodoro Mendes; Sébastien Bubeck; Farinaz Koushanfar; Debadeepta Dey (NeurIPS, 2022)

FLAME: Taming Backdoors in Federated Learning. - Thien Duc Nguyen; Phillip Rieger; Huili Chen; Hossein Yalame; Helen Möllering; Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Shaza Zeitouni; Farinaz Koushanfar; Ahmad-Reza Sadeghi; et al. (USENIX Security Symposium, 2022)

Cross-modal Adversarial Reprogramming. - Paarth Neekhara; Shehzeen Hussain; Jinglong Du; Shlomo Dubnov; Farinaz Koushanfar; Julian J. McAuley (WACV, 2022)

Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection. - Yein Kim; Huili Chen; Farinaz Koushanfar (CoRR, 2022)

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. - Mojan Javaheripi; Shital Shah; Subhabrata Mukherjee; Tomasz L. Religa; Caio C. T. Mendes; Gustavo H. de Rosa; Sébastien Bubeck; Farinaz Koushanfar; Debadeepta Dey (CoRR, 2022)

Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. - Jung-Woo Chang; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (CoRR, 2022)

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. - Paarth Neekhara; Shehzeen Hussain; Xinqiao Zhang; Ke Huang 001; Julian J. McAuley; Farinaz Koushanfar (CoRR, 2022)

An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks. - Xinqiao Zhang; Huili Chen; Ke Huang 001; Farinaz Koushanfar (CoRR, 2022)

ReFace: Real-time Adversarial Attacks on Face Recognition Systems. - Shehzeen Hussain; Todd Huster; Chris Mesterharm; Paarth Neekhara; Kevin An; Malhar Jere; Harshvardhan Sikka; Farinaz Koushanfar (CoRR, 2022)

PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. - Diego Garcia-soto; Huili Chen; Farinaz Koushanfar (CoRR, 2022)

Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers. - Ruisi Zhang; Seira Hidano; Farinaz Koushanfar (CoRR, 2022)

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks. - Shehzeen Hussain; Paarth Neekhara; Brian Dolhansky; Joanna Bitton; Cristian Canton Ferrer; Julian J. McAuley; Farinaz Koushanfar (DTRAP, 2022)

Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs. - Xinghan Wang; Anusha Lalitha; Tara Javidi; Farinaz Koushanfar (IEEE J. Sel. Areas Inf. Theory, 2022)

Federated Certainty Equivalence Control for Linear Gaussian Systems with Unknown Decoupled Dynamics and Quadratic Common Cost. - Xinghan Wang; Nasimeh Heydaribeni; Farinaz Koushanfar; Tara Javidi (Allerton, 2023)

HELiKs: HE Linear Algebra Kernels for Secure Inference. - Shashank Balla; Farinaz Koushanfar (CCS, 2023)

VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. - Jung-Woo Chang; Mojan Javaheripi; Farinaz Koushanfar (DAC, 2023)

ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. - Nojan Sheybani; Zahra Ghodsi; Ritvik Kapila; Farinaz Koushanfar (DAC, 2023)

AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. - Ruisi Zhang; Mojan Javaheripi; Zahra Ghodsi; Amit Bleiweiss; Farinaz Koushanfar (DAC, 2023)

ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. - Shehzeen Hussain; Todd Huster; Chris Mesterharm; Paarth Neekhara; Farinaz Koushanfar (DSN, 2023)

Adapting Skip Connections for Resource-Efficient FPGA Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; Nojan Sheybani; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (FPGA, 2023)

zPROBE: Zero Peek Robustness Checks for Federated Learning. - Zahra Ghodsi; Mojan Javaheripi; Nojan Sheybani; Xinqiao Zhang; Ke Huang 001; Farinaz Koushanfar (ICCV, 2023)

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. - Jung-Woo Chang; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (NDSS, 2023)

Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. - Christoph Sendner; Huili Chen; Hossein Fereidooni; Lukas Petzi; Jan König; Jasper Stang; Alexandra Dmitrienko; Ahmad-Reza Sadeghi; Farinaz Koushanfar (NDSS, 2023)

Tailor: Altering Skip Connections for Resource-Efficient Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; Nojan Sheybani; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (CoRR, 2023)

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. - Jung-Woo Chang; Nojan Sheybani; Shehzeen Samarah Hussain; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (CoRR, 2023)

G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts. - Christoph Sendner; Ruisi Zhang; Alexander Hefter; Alexandra Dmitrienko; Farinaz Koushanfar (CoRR, 2023)

Secure and Trustworthy Computing 2.0 Vision Statement. - Patrick McDaniel; Farinaz Koushanfar (CoRR, 2023)

SABRE: Robust Bayesian Peer-to-Peer Federated Learning. - Nasimeh Heydaribeni; Ruisi Zhang; Tara Javidi; Cristina Nita-Rotaru; Farinaz Koushanfar (CoRR, 2023)

HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks. - Nasimeh Heydaribeni; Xinrui Zhan; Ruisi Zhang; Tina Eliassi-Rad; Farinaz Koushanfar (CoRR, 2023)

LiveTune: Dynamic Parameter Tuning for Training Deep Neural Networks. - Soheil Zibakhsh Shabgahi; Nojan Sheybani; Aiden Tabrizi; Farinaz Koushanfar (CoRR, 2023)

LayerCollapse: Adaptive compression of neural networks. - Soheil Zibakhsh Shabgahi; Mohammad Soheil Shariff; Farinaz Koushanfar (CoRR, 2023)

SPAM: Secure & Private Aircraft Management. - Yaman Jandali; Nojan Sheybani; Farinaz Koushanfar (CoRR, 2023)

GALU: A Genetic Algorithm Framework for Logic Unlocking. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (DTRAP, 2023)

Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. - Kushal Babel; Mojan Javaheripi; Yan Ji 001; Mahimna Kelkar; Farinaz Koushanfar; Ari Juels (IACR Cryptol. ePrint Arch., 2023)

Adversarial scratches: Deployable attacks to CNN classifiers. - Loris Giulivi; Malhar Jere; Loris Rossi; Farinaz Koushanfar; Gabriela F. Ciocarlie; Briland Hitaj; Giacomo Boracchi (Pattern Recognit., 2023)

Tutorial: Toward Robust Deep Learning against Poisoning Attacks. - Huili Chen; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2023)

Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. - Florian Frank 004; Wenjie Xiong 001; Nikolaos Athanasios Anagnostopoulos; André Schaller; Tolga Arul; Farinaz Koushanfar; Stefan Katzenbeisser 001; Ulrich Rührmair; Jakub Szefer (IEEE Trans. Inf. Forensics Secur., 2023)

AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. - Mojan Javaheripi; Jung-Woo Chang; Farinaz Koushanfar (ACM J. Emerg. Technol. Comput. Syst., 2023)

AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. - Huili Chen; Xinqiao Zhang; Ke Huang 001; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2023)

Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings. - Ruisi Zhang; Shehzeen Hussain; Huili Chen; Mojan Javaheripi; Farinaz Koushanfar (ACM Trans. Design Autom. Electr. Syst., 2023)

You Can Have Your Cake and Eat It Too: Ensuring Practical Robustness and Privacy in Federated Learning. - Nojan Sheybani; Farinaz Koushanfar (AAAI Spring Symposia, 2024)

Watermarking Large Language Models and the Generated Content: Opportunities and Challenges. - Ruisi Zhang; Farinaz Koushanfar (IEEECONF, 2024)

EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models. - Ruisi Zhang; Farinaz Koushanfar (DAC, 2024)

AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge. - Anees Ahmed; Nojan Sheybani; Davi Moreno; Nges Brian Njungle; Tengkai Gong; Michel A. Kinsy; Farinaz Koushanfar (ICCAD, 2024)

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. - Mingjia Huo; Sai Ashish Somayajula; Youwei Liang; Ruisi Zhang; Farinaz Koushanfar; Pengtao Xie (ICML, 2024)

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. - Paarth Neekhara; Shehzeen Samarah Hussain; Rafael Valle; Boris Ginsburg; Rishabh Ranjan; Shlomo Dubnov; Farinaz Koushanfar; Julian J. McAuley (ICML, 2024)

Automated Physical Design Watermarking Leveraging Graph Neural Networks. - Ruisi Zhang; Rachel Selina Rajarathnam; David Z. Pan; Farinaz Koushanfar (MLCAD, 2024)

Unveiling Analog Aging Trojans (ATs): Vulnerabilities and Detection Strategies. - Ke Huang 001; Xinqiao Zhang; Farinaz Koushanfar (MWSCAS, 2024)

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. - Ruisi Zhang; Shehzeen Samarah Hussain; Paarth Neekhara; Farinaz Koushanfar (USENIX Security Symposium, 2024)

ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection. - Ruisi Zhang; Rachel Selina Rajarathnam; David Z. Pan; Farinaz Koushanfar (CoRR, 2024)

Props for Machine-Learning Security. - Ari Juels; Farinaz Koushanfar (CoRR, 2024)

Trojan Cleansing with Neural Collapse. - Xihe Gu; Greg Fields; Yaman Jandali; Tara Javidi; Farinaz Koushanfar (CoRR, 2024)

ICtoken: An NFT for Hardware IP Protection. - Shashank Balla; Yiming Zhao; Farinaz Koushanfar (CoRR, 2024)

Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. - Huili Chen; Cheng Fu 002; Bita Darvish Rouhani; Jishen Zhao; Farinaz Koushanfar (IEEE Des. Test, 2024)

SoK: Model Reverse Engineering Threats for Neural Network Hardware. - Seetal Potluri; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2024)

Distributed constrained combinatorial optimization leveraging hypergraph neural networks. - Nasimeh Heydaribeni; Xinrui Zhan; Ruisi Zhang; Tina Eliassi-Rad; Farinaz Koushanfar (Nat. Mac. Intell., 2024)

Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation. - Jeongmin Lim; Young Geun Kim 001; Sung Woo Chung; Farinaz Koushanfar; Joonho Kong (IEEE Trans. Emerg. Top. Comput., 2024)

SenseHash: Computing on Sensor Values Mystified at the Origin. - Nojan Sheybani; Xinqiao Zhang; Siam Umar Hussain; Farinaz Koushanfar (IEEE Trans. Emerg. Top. Comput., 2024)

Tailor: Altering Skip Connections for Resource-Efficient Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; G. Abarajithan; Nojan Sheybani; Andres Meza 001; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (ACM Trans. Reconfigurable Technol. Syst., 2024)

Scalable Binary Neural Network Applications in Oblivious Inference. - Xinqiao Zhang; Mohammad Samragh; Siam U. Hussain; Ke Huang 001; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2024)

FaceSigns: Semi-fragile Watermarks for Media Authentication. - Paarth Neekhara; Shehzeen Hussain; Xinqiao Zhang; Ke Huang 001; Julian J. McAuley; Farinaz Koushanfar (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Key, Value, Compress: A Systematic Exploration of KV Cache Compression Techniques. - Neusha Javidnia; Bita Darvish Rouhani; Farinaz Koushanfar (CICC, 2025)

Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. - Jung-Woo Chang; Ke Sun 012; Nasimeh Heydaribeni; Seira Hidano; Xinyu Zhang 003; Farinaz Koushanfar (NDSS, 2025)

EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations. - Jung-Woo Chang; Ke Sun 012; David Xia; Xinyu Zhang 003; Farinaz Koushanfar (SP, 2025)

Gotta Hash 'Em All! Speeding Up Hash Functions for Zero-Knowledge Proof Applications. - Nojan Sheybani; Tengkai Gong; Anees Ahmed; Nges Brian Njungle; Michel A. Kinsy; Farinaz Koushanfar (CoRR, 2025)

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign. - Ruisi Zhang; Neusha Javidnia; Nojan Sheybani; Farinaz Koushanfar (CoRR, 2025)

DROP: Poison Dilution via Knowledge Distillation for Federated Learning. - Georgios Syros; Anshuman Suri; Farinaz Koushanfar; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2025)

Zero-Knowledge Proof Frameworks: A Systematic Survey. - Nojan Sheybani; Anees Ahmed; Michel A. Kinsy; Farinaz Koushanfar (CoRR, 2025)

MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models. - Soheil Zibakhsh Shabgahi; Yaman Jandali; Farinaz Koushanfar (CoRR, 2025)

Learning for Dynamic Combinatorial Optimization without Training Data. - Yiqiao Liao; Farinaz Koushanfar; Parinaz Naghizadeh (CoRR, 2025)