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2020 – today
- 2025
[j11]Brunno Alves de Abreu
, Guilherme Paim, Lilas Alrahis, Paulo F. Flores, Ozgur Sinanoglu, Sergio Bampi, Hussam Amrouch:
On the Efficacy and Vulnerabilities of Logic Locking in Tree-Based Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 72(1): 180-191 (2025)- 2024
- [j10]Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch:
CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition. IEEE Access 12: 176280-176290 (2024) - [j9]Tarek Mohamed, Victor M. van Santen, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch:
Graph Attention Networks to Identify the Impact of Transistor Degradation on Circuit Reliability. IEEE Trans. Circuits Syst. I Regul. Pap. 71(7): 3269-3281 (2024) - [c26]Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch:
HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. DATE 2024: 1-2 - [c25]Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori:
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs. HOST 2024: 383-393 - [c24]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. IOLTS 2024: 1-7 - [c23]Zhengyao Gu, Diego Troy Lopez, Lilas Alrahis, Ozgur Sinanoglu:
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs. ISQED 2024: 1-8 - [c22]Zeng Wang, Lilas Alrahis, Likhitha Mankali, Johann Knechtel, Ozgur Sinanoglu:
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust. ISVLSI 2024: 385-390 - [c21]Lilas Alrahis, Mohammed Thari Nabeel, Johann Knechtel, Ozgur Sinanoglu:
The Impact of Logic Synthesis and Technology Mapping on Logic Locking Security. VLSI-SoC 2024: 1-6 - [i24]Zhengyao Gu, Diego Troy Lopez, Lilas Alrahis, Ozgur Sinanoglu:
Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs. CoRR abs/2402.18986 (2024) - [i23]Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori:
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs. CoRR abs/2403.01860 (2024) - [i22]Fangzhou Wang, Qijing Wang, Lilas Alrahis, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Ozgur Sinanoglu, Tsung-Yi Ho, Evangeline F. Y. Young, Johann Knechtel:
TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans. CoRR abs/2405.05590 (2024) - [i21]Zeng Wang, Lilas Alrahis, Likhitha Mankali, Johann Knechtel, Ozgur Sinanoglu:
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust. CoRR abs/2405.07061 (2024) - 2023
- [j8]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers 72(10): 2822-2834 (2023) - [j7]Likhitha Mankali, Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Ozgur Sinanoglu:
Titan: Security Analysis of Large-Scale Hardware Obfuscation Using Graph Neural Networks. IEEE Trans. Inf. Forensics Secur. 18: 304-318 (2023) - [c20]Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu:
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. ASP-DAC 2023: 83-90 - [c19]Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan:
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. DAC 2023: 1-6 - [c18]Zeng Wang, Lilas Alrahis, Dominik Sisejkovic, Ozgur Sinanoglu:
AutoLock: Automatic Design of Logic Locking with Evolutionary Computation. DSN-S 2023: 200-202 - [c17]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. IOLTS 2023: 1-7 - [c16]Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu:
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection. ISCAS 2023: 1-5 - [c15]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. ISLPED 2023: 1-6 - [c14]Fangzhou Wang, Qijing Wang, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Lilas Alrahis, Ozgur Sinanoglu, Johann Knechtel, Tsung-Yi Ho, Evangeline F. Y. Young:
Security Closure of IC Layouts Against Hardware Trojans. ISPD 2023: 229-237 - [c13]Lilas Alrahis, Likhitha Mankali, Satwik Patnaik, Abhrajit Sengupta, Johann Knechtel, Ozgur Sinanoglu:
UN-SPLIT: Attacking Split Manufacturing Using Link Prediction in Graph Neural Networks. SPACE 2023: 197-213 - [c12]Lilas Alrahis, Ozgur Sinanoglu:
Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN? VTS 2023: 1-4 - [i20]Hazem Lashen, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu:
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection. CoRR abs/2301.11804 (2023) - [i19]Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan:
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. CoRR abs/2303.03372 (2023) - [i18]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing. CoRR abs/2303.06746 (2023) - [i17]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR abs/2303.14009 (2023) - [i16]Lilas Alrahis, Ozgur Sinanoglu:
Graph Neural Networks for Hardware Vulnerability Analysis - Can you Trust your GNN? CoRR abs/2303.16690 (2023) - [i15]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. CoRR abs/2304.02510 (2023) - [i14]Zeng Wang, Lilas Alrahis, Dominik Sisejkovic, Ozgur Sinanoglu:
AutoLock: Automatic Design of Logic Locking with Evolutionary Computation. CoRR abs/2305.01840 (2023) - 2022
- [j6]Lilas Alrahis, Abhrajit Sengupta, Johann Knechtel, Satwik Patnaik, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2435-2448 (2022) - [j5]Lilas Alrahis, Johann Knechtel, Florian Klemme, Hussam Amrouch, Ozgur Sinanoglu:
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3826-3837 (2022) - [j4]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1602-1606 (2022) - [j3]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. 10(3): 1575-1592 (2022) - [c11]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. DATE 2022: 694-699 - [c10]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security. ICCAD 2022: 4:1-4:9 - [c9]Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch:
AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks. ICCAD 2022: 152:1-152:9 - [c8]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN 2022: 1-10 - [i13]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR abs/2206.00402 (2022) - [i12]Lilas Alrahis, Johann Knechtel, Florian Klemme, Hussam Amrouch, Ozgur Sinanoglu:
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation. CoRR abs/2208.02868 (2022) - [i11]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security (Invited Paper). CoRR abs/2208.08554 (2022) - [i10]Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch:
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks. CoRR abs/2208.10868 (2022) - [i9]Fangzhou Wang, Qijing Wang, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Lilas Alrahis, Ozgur Sinanoglu, Johann Knechtel, Tsung-Yi Ho, Evangeline F. Y. Young:
Security Closure of IC Layouts Against Hardware Trojans. CoRR abs/2211.07997 (2022) - [i8]Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu:
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. CoRR abs/2211.16495 (2022) - [i7]Shaza Elsharief, Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu:
IsoLock: Thwarting Link-Prediction Attacks on Routing Obfuscation by Graph Isomorphism. IACR Cryptol. ePrint Arch. 2022: 1752 (2022) - 2021
- [j2]Lilas Alrahis, Muhammad Yasin, Nimisha Limaye, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
ScanSAT: Unlocking Static and Dynamic Scan Obfuscation. IEEE Trans. Emerg. Top. Comput. 9(4): 1867-1882 (2021) - [j1]Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking. IEEE Trans. Inf. Forensics Secur. 16: 2508-2523 (2021) - [c7]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE 2021: 780-785 - [c6]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD 2021: 1-9 - [i6]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. CoRR abs/2111.07062 (2021) - [i5]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. CoRR abs/2112.07178 (2021) - 2020
- [i4]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR abs/2012.05948 (2020) - [i3]Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking. CoRR abs/2012.14938 (2020)
2010 – 2019
- 2019
- [c5]Lilas Alrahis, Muhammad Yasin, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
ScanSAT: unlocking obfuscated scan chains. ASP-DAC 2019: 352-357 - [c4]Lilas Alrahis, Muhammad Yasin, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri:
Functional Reverse Engineering on SAT-Attack Resilient Logic Locking. ISCAS 2019: 1-5 - [i2]Lilas Alrahis, Muhammad Yasin, Nimisha Limaye, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
ScanSAT: Unlocking Static and Dynamic Scan Obfuscation. CoRR abs/1909.04428 (2019) - [i1]Lilas Alrahis, Muhammad Yasin, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
ScanSAT: Unlocking Obfuscated Scan Chains. IACR Cryptol. ePrint Arch. 2019: 5 (2019) - 2017
- [c3]Ahood Al Jneibi, Menatalla Abououf, Hani H. Saleh, Lilas Alrahis, Tasneem Assaf, Thanos Stouraitis:
Application specific design for digital beam-former (DBF). ICECS 2017: 111-115 - [c2]Bilal Taha, Lilas Alrahis, Tasneem Assaf, Hani H. Saleh, Naoufel Werghi, Thanos Stouraitis:
Application-specific processor for local-binary-patterns generation. ICECS 2017: 466-469 - 2016
- [c1]Lilas Al Rahis, Baker Mohammad, Hani H. Saleh, Mohammad Ismail:
Electret-free electrostatic energy harvesting interface circuit design and analysis. MWSCAS 2016: 1-4
Coauthor Index
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last updated on 2025-03-04 22:17 CET by the dblp team
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