| 2026 | AsiaCCS | POSTER: DeLink-Deceptive Link Generation for Circuit Obfuscation. | Anania Temtim Cherkos, Praveen Karmakar, Lilas Alrahis |
| 2026 | AsiaCCS | POSTER: Hector - An Agentic LLM Framework for Logic Locking. | Prithwish Basu Roy, Akashdeep Saha, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri |
| 2026 | VTS | Towards LLM-Based Reasoning for Gate-Level Netlist Tasks. | Mueen Almasre, Lilas Alrahis |
| 2025 | VTS | 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 |
| 2024 | DATE | HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. | Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch |
| 2024 | IOLTS | Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. | Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 2023 | ASPDAC | Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. | Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu |
| 2023 | DAC | 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 |
| 2023 | DSN | AutoLock: Automatic Design of Logic Locking with Evolutionary Computation. | Zeng Wang, Lilas Alrahis, Dominik Sisejkovic, Ozgur Sinanoglu |
| 2023 | IOLTS | ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. | Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 2023 | ISCAS | TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection. | Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu |
| 2023 | ISLPED | FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. | Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 2023 | VTS | Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN? | Lilas Alrahis, Ozgur Sinanoglu |
| 2022 | DATE | MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. | Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu |
| 2022 | ICCAD | Embracing Graph Neural Networks for Hardware Security. | Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu |
| 2022 | ICCAD | AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks. | Tim Bcher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch |
| 2022 | IJCNN | NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. | Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique |
| 2021 | DATE | GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. | Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | ICCAD | UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. | Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu |
| 2019 | ASPDAC | ScanSAT: unlocking obfuscated scan chains. | Lilas Alrahis, Muhammad Yasin, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu |
| 2019 | ISCAS | Functional Reverse Engineering on SAT-Attack Resilient Logic Locking. | Lilas Alrahis, Muhammad Yasin, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri |