Benjamin Tan

CoRR, 2024

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization.

[BibT_eX]

[DOI]

Abdul Khader Thalakkattu Moosa

CoRR, 2024

2023

Not All Fabrics Are Created Equal: Exploring eFPGA Parameters for IP Redaction.

[BibT_eX]

[DOI]

Jitendra Bhandari

Pierre-Emmanuel Gaillardon

IEEE Trans. Very Large Scale Integr. Syst., October, 2023

High-Level Approaches to Hardware Security: A Tutorial.

[BibT_eX]

[DOI]

Hammond Pearce

ACM Trans. Embed. Comput. Syst., 2023

Hardware-Supported Patching of Security Bugs in Hardware IP Blocks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

AutoChip: Automating HDL Generation Using LLM Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Theoretical Patchability Quantification for IP-Level Hardware Patching Designs.

[BibT_eX]

[DOI]

Wei-Kai Liu

Jason M. Fung

CoRR, 2023

Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT.

[BibT_eX]

[DOI]

Akshaj Kumar Veldanda

CoRR, 2023

VeriGen: A Large Language Model for Verilog Code Generation.

[BibT_eX]

[DOI]

CoRR, 2023

LLM-assisted Generation of Hardware Assertions.

[BibT_eX]

[DOI]

Jeyavijayan Rajendran

CoRR, 2023

FLAG: Finding Line Anomalies (in code) with Generative AI.

[BibT_eX]

[DOI]

CoRR, 2023

INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search.

[BibT_eX]

[DOI]

CoRR, 2023

Fixing Hardware Security Bugs with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Advancing Smart Cities Through Novel Social Media Text Analysis: A Case Study of Calgary.

[BibT_eX]

[DOI]

Mitra Mirshafee

Ann Barcomb

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Examining Zero-Shot Vulnerability Repair with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Distinguishing AI- and Human-Generated Code: A Case Study.

[BibT_eX]

[DOI]

Sufiyan Bukhari

Lorenzo De Carli

Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2023

ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM/IEEE Workshop on Machine Learning for CAD, 2023

Benchmarking Large Language Models for Automated Verilog RTL Code Generation.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Code and Dataset for "Examining Zero-Shot Vulnerability Repair with Large Language Models".

[BibT_eX]

[DOI]

Dataset, March, 2022

Robust Deep Learning for IC Test Problems.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Denial-of-Service Attacks on Learned Image Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Pop Quiz! Can a Large Language Model Help With Reverse Engineering?

[BibT_eX]

[DOI]

Hammond Pearce

Farshad Khorrami

Brendan Dolan-Gavitt

CoRR, 2022

Innovation Practices Track: Security in Test and Test for Security.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE VLSI Test Symposium, 2022

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Challenges and Opportunities for Hardware-Assisted Security Improvements in the Field.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Reconfigurable Logic for Hardware IP Protection: Opportunities and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design.

[BibT_eX]

[DOI]

Abdul Khader Thalakkattu Moosa

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

ALICE: an automatic design flow for eFPGA redaction.

[BibT_eX]

[DOI]

Chiara Muscari Tomajoli

Luca Collini

Jitendra Bhandari

Pierre-Emmanuel Gaillardon

Xifan Tang

Christian Pilato

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Designing ML-resilient locking at register-transfer level.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

High-level design methods for hardware security: is it the right choice? invited.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Copilot CWE Scenarios Dataset.

[BibT_eX]

[DOI]

Dataset, August, 2021

Toward Hardware-Based IP Vulnerability Detection and Post-Deployment Patching in Systems-on-Chip.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks.

[BibT_eX]

[DOI]

Gaurav Rajavendra Reddy

Yiorgos Makris

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs?

[BibT_eX]

[DOI]

CoRR, 2021

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis.

[BibT_eX]

[DOI]

CoRR, 2021

An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions.

[BibT_eX]

[DOI]

CoRR, 2021

Special Session: Machine Learning for Semiconductor Test and Reliability.

[BibT_eX]

[DOI]

Hussam Amrouch

Wentian Jin

Farshad Khorrami

Abdul Khader Thalakkattu Moosa

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Can We Trust Machine Learning for Electronic Design Automation?

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Exploring eFPGA-based Redaction for IP Protection.

[BibT_eX]

[DOI]

Jitendra Bhandari

Pierre-Emmanuel Gaillardon

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Invited: Independent Verification and Validation of Security-Aware EDA Tools and IP.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

NNoculation: Catching BadNets in the Wild.

[BibT_eX]

[DOI]

Akshaj Kumar Veldanda

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method.

[BibT_eX]

[DOI]

Evangeline F. Y. Young

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection.

[BibT_eX]

[DOI]

Evangeline F. Y. Young

ACM Trans. Design Autom. Electr. Syst., 2020

Benchmarking at the Frontier of Hardware Security: Lessons from Logic Locking.

[BibT_eX]

[DOI]

CoRR, 2020

NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs.

[BibT_eX]

[DOI]

Akshaj Kumar Veldanda

CoRR, 2020

Challenges and New Directions for AI and Hardware Security.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

DAVE: Deriving Automatically Verilog from English.

[BibT_eX]

[DOI]

Hammond Pearce

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Explaining and Interpreting Machine Learning CAD Decisions: An IC Testing Case Study.

[BibT_eX]

[DOI]

Farshad Khorrami

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection.

[BibT_eX]

[DOI]

Evangeline F. Y. Young

CoRR, 2019

2018

Mind the Gap: Insights into Student Perceptions During Peer Assessment of Writing.

[BibT_eX]

[DOI]

Andrew Tzer-Yeu Chen

Kevin I-Kai Wang

Proceedings of the IEEE International Conference on Teaching, 2018

2017

An Automated Security-Aware Approach for Design of Embedded Systems on MPSoC.

[BibT_eX]

[DOI]

Morteza Biglari-Abhari

Zoran Salcic

ACM Trans. Embed. Comput. Syst., 2017

Towards decentralized system-level security for MPSoC-based embedded applications.

[BibT_eX]

[DOI]

Morteza Biglari-Abhari

Zoran Salcic

J. Syst. Archit., 2017

2016

A system-level security approach for heterogeneous MPSoCs.

[BibT_eX]

[DOI]