Lilas Alrahis

65 papers A* 1A 7B 1C 5Misc 2Journal 39Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Neural Networks for Integrated Circuit Design, Reliability, and Security: Survey and Tool.
ACM Comput. Surv.
Ziad El Sayed, Zeng Wang, Hana Selmani, Johann Knechtel, Ozgur Sinanoglu, Lilas Alrahis
2026 J jnl
TroLLoc: Security Closure against Hardware Trojans by Logic Locking and Layout Hardening.
J. Hardw. Syst. Secur.
Fangzhou Wang, Qijing Wang, Lilas Alrahis, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Ozgur Sinanoglu, Tsung-Yi Ho, Evangeline F. Y. Young, Johann Knechtel
2025 Misc conf
GLLaMoR: Graph-based Logic Locking by Large Language Models for Enhanced Robustness.
VTS
Akashdeep Saha, Prithwish Basu Roy, Johann Knechtel, Ramesh Karri, Ozgur Sinanoglu, Lilas Alrahis
2025 J jnl
Logic Encryption: This Time for Real.
CoRR
Rupesh Raj Karn, Lakshmi Likhitha Mankali, Zeng Wang, Saideep Sreekumar, Prithwish Basu Roy, Ozgur Sinanoglu, Lilas Alrahis, Johann Knechtel
2025 J jnl
On the Efficacy and Vulnerabilities of Logic Locking in Tree-Based Machine Learning.
IEEE Trans. Circuits Syst. I Regul. Pap.
Brunno Alves de Abreu, Guilherme Paim, Lilas Alrahis, Paulo F. Flores, Ozgur Sinanoglu, Sergio Bampi, Hussam Amrouch
2025 J jnl
OptiLock: Automated Optimization of Learning-Resilient Logic Locking.
IEEE Access
Zeng Wang, Lilas Alrahis, Animesh Basak Chowdhury, Dominik Germek, Ramesh Karri, Ozgur Sinanoglu
2024 — conf
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs.
ISQED
Zhengyao Gu, Diego Troy Lopez, Lilas Alrahis, Ozgur Sinanoglu
2024 J jnl
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs.
CoRR
Zhengyao Gu, Diego Troy Lopez, Lilas Alrahis, Ozgur Sinanoglu
2024 C conf
Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks.
IOLTS
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
2024 J jnl
CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition.
IEEE Access
Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch
2024 J jnl
Graph Attention Networks to Identify the Impact of Transistor Degradation on Circuit Reliability.
IEEE Trans. Circuits Syst. I Regul. Pap.
Tarek Mohamed, Victor M. van Santen, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch
2024 A conf
HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition.
DATE
Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch
2024 — conf
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust.
ISVLSI
Zeng Wang, Lilas Alrahis, Likhitha Mankali, Johann Knechtel, Ozgur Sinanoglu
2024 J jnl
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust.
CoRR
Zeng Wang, Lilas Alrahis, Likhitha Mankali, Johann Knechtel, Ozgur Sinanoglu
2024 — conf
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs.
HOST
Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori
2024 J jnl
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs.
CoRR
Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori
2024 C conf
The Impact of Logic Synthesis and Technology Mapping on Logic Locking Security.
VLSI-SoC
Lilas Alrahis, Mohammed Thari Nabeel, Johann Knechtel, Ozgur Sinanoglu
2024 J jnl
TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans.
CoRR
Fangzhou Wang, Qijing Wang, Lilas Alrahis, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Ozgur Sinanoglu, Tsung-Yi Ho, Evangeline F. Y. Young, Johann Knechtel
2023 J jnl
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems.
IEEE Trans. Computers
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2023 A* conf
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning.
DAC
Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan
2023 J jnl
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning.
CoRR
Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan
2023 — conf
AutoLock: Automatic Design of Logic Locking with Evolutionary Computation.
DSN-S
Zeng Wang, Lilas Alrahis, Dominik Sisejkovic, Ozgur Sinanoglu
2023 J jnl
AutoLock: Automatic Design of Logic Locking with Evolutionary Computation.
CoRR
Zeng Wang, Lilas Alrahis, Dominik Sisejkovic, Ozgur Sinanoglu
2023 J jnl
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing.
CoRR
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
2023 A conf
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation.
ISLPED
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
2023 J jnl
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation.
CoRR
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
2023 Misc conf
Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN?
VTS
Lilas Alrahis, Ozgur Sinanoglu
2023 J jnl
Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN?
CoRR
Lilas Alrahis, Ozgur Sinanoglu
2023 — conf
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs.
ASP-DAC
Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
2023 J jnl
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems.
CoRR
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2023 — conf
Security Closure of IC Layouts Against Hardware Trojans.
ISPD
Fangzhou Wang, Qijing Wang, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Lilas Alrahis, Ozgur Sinanoglu, Johann Knechtel, Tsung-Yi Ho, Evangeline F. Y. Young
2023 C conf
ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules.
IOLTS
Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique
2023 J jnl
Titan: Security Analysis of Large-Scale Hardware Obfuscation Using Graph Neural Networks.
IEEE Trans. Inf. Forensics Secur.
Likhitha Mankali, Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Ozgur Sinanoglu
2023 C conf
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection.
ISCAS
Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
2023 J jnl
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection.
CoRR
Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
2023 — conf
UN-SPLIT: Attacking Split Manufacturing Using Link Prediction in Graph Neural Networks.
SPACE
Lilas Alrahis, Likhitha Mankali, Satwik Patnaik, Abhrajit Sengupta, Johann Knechtel, Ozgur Sinanoglu
2022 A conf
AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks.
ICCAD
Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch
2022 J jnl
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks.
CoRR
Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch
2022 J jnl
Embracing Graph Neural Networks for Hardware Security (Invited Paper).
CoRR
Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu
2022 A conf
Embracing Graph Neural Networks for Hardware Security.
ICCAD
Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu
2022 J jnl
GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lilas Alrahis, Abhrajit Sengupta, Johann Knechtel, Satwik Patnaik, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2022 J jnl
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation.
CoRR
Lilas Alrahis, Johann Knechtel, Florian Klemme, Hussam Amrouch, Ozgur Sinanoglu
2022 J jnl
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lilas Alrahis, Johann Knechtel, Florian Klemme, Hussam Amrouch, Ozgur Sinanoglu
2022 J jnl
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking.
IEEE Trans. Emerg. Top. Comput.
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu
2022 J jnl
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs.
CoRR
Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
2022 J jnl
IsoLock: Thwarting Link-Prediction Attacks on Routing Obfuscation by Graph Isomorphism.
IACR Cryptol. ePrint Arch.
Shaza Elsharief, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
2022 A conf
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction.
DATE
Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu
2022 B conf
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks.
IJCNN
Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
2022 J jnl
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks.
CoRR
Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
2022 J jnl
OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking.
IEEE Trans. Circuits Syst. II Express Briefs
Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu
2022 J jnl
Security Closure of IC Layouts Against Hardware Trojans.
CoRR
Fangzhou Wang, Qijing Wang, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Lilas Alrahis, Ozgur Sinanoglu, Johann Knechtel, Tsung-Yi Ho, Evangeline F. Y. Young
2021 A conf
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking.
DATE
Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu
2021 J jnl
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction.
CoRR
Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu
2021 J jnl
ScanSAT: Unlocking Static and Dynamic Scan Obfuscation.
IEEE Trans. Emerg. Top. Comput.
Lilas Alrahis, Muhammad Yasin, Nimisha Limaye, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2021 J jnl
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking.
IEEE Trans. Inf. Forensics Secur.
Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2021 A conf
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction.
ICCAD
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2021 J jnl
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction.
CoRR
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
2020 J jnl
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking.
CoRR
Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu
2020 J jnl
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking.
CoRR
Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2019 C conf
Functional Reverse Engineering on SAT-Attack Resilient Logic Locking.
ISCAS
Lilas Alrahis, Muhammad Yasin, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri
2019 J jnl
ScanSAT: Unlocking Obfuscated Scan Chains.
IACR Cryptol. ePrint Arch.
Lilas Alrahis, Muhammad Yasin, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2019 J jnl
ScanSAT: Unlocking Static and Dynamic Scan Obfuscation.
CoRR
Lilas Alrahis, Muhammad Yasin, Nimisha Limaye, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2019 — conf
ScanSAT: unlocking obfuscated scan chains.
ASP-DAC
Lilas Alrahis, Muhammad Yasin, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu
2017 — conf
Application specific design for digital beam-former (DBF).
ICECS
Ahood Al Jneibi, Menatalla Abououf, Hani Saleh, Lilas Alrahis, Tasneem Assaf, Thanos Stouraitis
2017 — conf
Application-specific processor for local-binary-patterns generation.
ICECS
Bilal Taha, Lilas Alrahis, Tasneem Assaf, Hani Saleh, Naoufel Werghi, Thanos Stouraitis