Electret-free electrostatic energy harvesting interface circuit design and analysis. - Lilas Al Rahis; Baker Mohammad; Hani H. Saleh; Mohammad Ismail 001 (MWSCAS, 2016)

Application specific design for digital beam-former (DBF). - Ahood Al Jneibi; Menatalla Abououf; Hani H. Saleh; Lilas Alrahis; Tasneem Assaf; Thanos Stouraitis (ICECS, 2017)

Application-specific processor for local-binary-patterns generation. - Bilal Taha; Lilas Alrahis; Tasneem Assaf; Hani H. Saleh; Naoufel Werghi; Thanos Stouraitis (ICECS, 2017)

Functional Reverse Engineering on SAT-Attack Resilient Logic Locking. - Lilas Alrahis; Muhammad Yasin; Hani H. Saleh; Baker Mohammad; Mahmoud Al-Qutayri (ISCAS, 2019)

ScanSAT: Unlocking Obfuscated Scan Chains. - Lilas Alrahis; Muhammad Yasin; Hani H. Saleh; Baker Mohammad; Mahmoud Al-Qutayri; Ozgur Sinanoglu (IACR Cryptol. ePrint Arch., 2019)

GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. - Lilas Alrahis; Satwik Patnaik; Faiq Khalid; Muhammad Abdullah Hanif; Hani H. Saleh; Muhammad Shafique 001; Ozgur Sinanoglu (DATE, 2021)

UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (ICCAD, 2021)

ScanSAT: Unlocking Static and Dynamic Scan Obfuscation. - Lilas Alrahis; Muhammad Yasin; Nimisha Limaye; Hani H. Saleh; Baker Mohammad; Mahmoud Al-Qutayri; Ozgur Sinanoglu (IEEE Trans. Emerg. Top. Comput., 2021)

UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking. - Lilas Alrahis; Satwik Patnaik; Johann Knechtel; Hani H. Saleh; Baker Mohammad; Mahmoud Al-Qutayri; Ozgur Sinanoglu (IEEE Trans. Inf. Forensics Secur., 2021)

MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (DATE, 2022)

Embracing Graph Neural Networks for Hardware Security. - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (ICCAD, 2022)

AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks. - Tim Bücher; Lilas Alrahis; Guilherme Paim; Sergio Bampi; Ozgur Sinanoglu; Hussam Amrouch (ICCAD, 2022)

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. - Mahya Morid Ahmadi; Lilas Alrahis; Alessio Colucci; Ozgur Sinanoglu; Muhammad Shafique 001 (IJCNN, 2022)

Embracing Graph Neural Networks for Hardware Security (Invited Paper). - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (CoRR, 2022)

IsoLock: Thwarting Link-Prediction Attacks on Routing Obfuscation by Graph Isomorphism. - Shaza Elsharief; Lilas Alrahis; Johann Knechtel; Ozgur Sinanoglu (IACR Cryptol. ePrint Arch., 2022)

GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation. - Lilas Alrahis; Johann Knechtel; Florian Klemme; Hussam Amrouch; Ozgur Sinanoglu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists. - Lilas Alrahis; Abhrajit Sengupta; Johann Knechtel; Satwik Patnaik; Hani H. Saleh; Baker Mohammad; Mahmoud Al-Qutayri; Ozgur Sinanoglu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking. - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Hani H. Saleh; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Emerg. Top. Comput., 2022)

Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. - Lilas Alrahis; Johann Knechtel; Ozgur Sinanoglu (ASP-DAC, 2023)

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. - Animesh Basak Chowdhury; Lilas Alrahis; Luca Collini; Johann Knechtel; Ramesh Karri; Siddharth Garg; Ozgur Sinanoglu; Benjamin Tan 001 (DAC, 2023)

AutoLock: Automatic Design of Logic Locking with Evolutionary Computation. - Zeng Wang; Lilas Alrahis; Dominik Sisejkovic; Ozgur Sinanoglu (DSN-S, 2023)

ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (IOLTS, 2023)

TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection. - Hazem Lashen; Lilas Alrahis; Johann Knechtel; Ozgur Sinanoglu (ISCAS, 2023)

FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (ISLPED, 2023)

Security Closure of IC Layouts Against Hardware Trojans. - Fangzhou Wang; Qijing Wang; Bangqi Fu; Shui Jiang; Xiaopeng Zhang 009; Lilas Alrahis; Ozgur Sinanoglu; Johann Knechtel; Tsung-Yi Ho; Evangeline F. Y. Young (ISPD, 2023)

UN-SPLIT: Attacking Split Manufacturing Using Link Prediction in Graph Neural Networks. - Lilas Alrahis; Likhitha Mankali; Satwik Patnaik; Abhrajit Sengupta; Johann Knechtel; Ozgur Sinanoglu (SPACE, 2023)

Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN? - Lilas Alrahis; Ozgur Sinanoglu (VTS, 2023)

DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (CoRR, 2023)

PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (CoRR, 2023)

Titan: Security Analysis of Large-Scale Hardware Obfuscation Using Graph Neural Networks. - Likhitha Mankali; Lilas Alrahis; Satwik Patnaik; Johann Knechtel; Ozgur Sinanoglu (IEEE Trans. Inf. Forensics Secur., 2023)

$ tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Computers, 2023)

HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. - Paul R. Genssler; Lilas Alrahis; Ozgur Sinanoglu; Hussam Amrouch (DATE, 2024)

MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs. - Lilas Alrahis; Hassan Nassar; Jonas Krautter; Dennis Gnad; Lars Bauer; Jörg Henkel; Mehdi B. Tahoori (HOST, 2024)

Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (IOLTS, 2024)

Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs. - Zhengyao Gu; Diego Troy Lopez; Lilas Alrahis; Ozgur Sinanoglu (ISQED, 2024)

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust. - Zeng Wang; Lilas Alrahis; Likhitha Mankali; Johann Knechtel; Ozgur Sinanoglu (ISVLSI, 2024)

The Impact of Logic Synthesis and Technology Mapping on Logic Locking Security. - Lilas Alrahis; Mohammed Thari Nabeel; Johann Knechtel; Ozgur Sinanoglu (VLSI-SoC, 2024)

CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition. - Paul R. Genssler; Lilas Alrahis; Ozgur Sinanoglu; Hussam Amrouch (IEEE Access, 2024)

TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans. - Fangzhou Wang; Qijing Wang; Lilas Alrahis; Bangqi Fu; Shui Jiang; Xiaopeng Zhang 009; Ozgur Sinanoglu; Tsung-Yi Ho; Evangeline F. Y. Young; Johann Knechtel (CoRR, 2024)

Graph Attention Networks to Identify the Impact of Transistor Degradation on Circuit Reliability. - Tarek Mohamed; Victor M. van Santen; Lilas Alrahis; Ozgur Sinanoglu; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

GLLaMoR: Graph-based Logic Locking by Large Language Models for Enhanced Robustness. - Akashdeep Saha; Prithwish Basu Roy; Johann Knechtel; Ramesh Karri; Ozgur Sinanoglu; Lilas Alrahis (VTS, 2025)

On the Efficacy and Vulnerabilities of Logic Locking in Tree-Based Machine Learning. - Brunno Alves de Abreu; Guilherme Paim; Lilas Alrahis; Paulo F. Flores; Ozgur Sinanoglu; Sergio Bampi; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)