Lilas Alrahis

According to our database, Lilas Alrahis authored at least 34 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs.

Zhengyao Gu, Diego Troy Lopez, Lilas Alrahis, Ozgur Sinanoglu

CoRR, 2024

2023

$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems.

Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu

IEEE Trans. Computers, October, 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

PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems.

Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu

CoRR, 2023

DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing.

Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique

CoRR, 2023

Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN?

Lilas Alrahis, Ozgur Sinanoglu

Proceedings of the 41st IEEE VLSI Test Symposium, 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

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2023

Security Closure of IC Layouts Against Hardware Trojans.

Fangzhou Wang, Qijing Wang, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Lilas Alrahis, Ozgur Sinanoglu, Johann Knechtel, Tsung-Yi Ho, Evangeline F. Y. Young

Proceedings of the 2023 International Symposium on Physical Design, 2023

FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation.

Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection.

Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules.

Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique

Proceedings of the 29th International Symposium on On-Line Testing and Robust System Design, 2023

AutoLock: Automatic Design of Logic Locking with Evolutionary Computation.

Zeng Wang, Lilas Alrahis, Dominik Sisejkovic, Ozgur Sinanoglu

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 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

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

Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs.

Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

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, Ozgur Sinanoglu

IEEE Trans. Emerg. Top. Comput., 2022

OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking.

Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu

IEEE Trans. Circuits Syst. II Express Briefs, 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

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

IsoLock: Thwarting Link-Prediction Attacks on Routing Obfuscation by Graph Isomorphism.

Shaza Elsharief, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu

IACR Cryptol. ePrint Arch., 2022

Embracing Graph Neural Networks for Hardware Security (Invited Paper).

Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu

CoRR, 2022

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks.

Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique

Proceedings of the International Joint Conference on Neural Networks, 2022

AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks.

Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch

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

Embracing Graph Neural Networks for Hardware Security.

Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu

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

MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction.

Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

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

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

UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction.

Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu

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

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, Ozgur Sinanoglu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

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

Functional Reverse Engineering on SAT-Attack Resilient Logic Locking.

Lilas Alrahis, Muhammad Yasin, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2017

Application-specific processor for local-binary-patterns generation.

Bilal Taha, Lilas Alrahis, Tasneem Assaf, Hani H. Saleh, Naoufel Werghi, Thanos Stouraitis

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

Application specific design for digital beam-former (DBF).

Ahood Al Jneibi, Menatalla Abououf, Hani H. Saleh, Lilas Alrahis, Tasneem Assaf, Thanos Stouraitis

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

2016

Electret-free electrostatic energy harvesting interface circuit design and analysis.

Lilas Al Rahis, Baker Mohammad, Hani H. Saleh, Mohammad Ismail

Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016