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Alrahis, Lilas
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1

Always be Pre-Training: Representation Learning for Network..:

, In: 2024 25th International Symposium on Quality Electronic Design (ISQED),
Gu, Zhengyao ; Lopez, Diego Troy ; Alrahis, Lilas. - p. 1-8 , 2024
Link: https://doi.org/10.1109/..
 
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2

Graph Attention Networks to Identify the Impact of Transist..:

Mohamed, Tarek ; van Santen, Victor M. ; Alrahis, Lilas..
IEEE Transactions on Circuits and Systems I: Regular Papers.  71 (2024)  7 - p. 3269-3281 , 2024
Link: https://doi.org/10.1109/..
 
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3

UN-SPLIT: Attacking Split Manufacturing Using Link Predicti..:

, In: Security, Privacy, and Applied Cryptography Engineering; Lecture Notes in Computer Science,
Alrahis, Lilas ; Mankali, Likhitha ; Patnaik, Satwik... - p. 197-213 , 2024
Link: https://doi.org/10.1007/..
 
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4

MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secu..:

, In: 2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST),
Alrahis, Lilas ; Nassar, Hassan ; Krautter, Jonas... - p. 383-393 , 2024
Link: https://doi.org/10.1109/..
 
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5

$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Network..:

Alrahis, Lilas ; Patnaik, Satwik ; Hanif, Muhammad Abdullah..
IEEE Transactions on Computers.  72 (2023)  10 - p. 2822-2834 , 2023
Link: https://doi.org/10.1109/..
 
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6

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Att..:

, In: 2023 60th ACM/IEEE Design Automation Conference (DAC),
Chowdhury, Animesh B. ; Alrahis, Lilas ; Collini, Luca... - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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7

Graph Neural Networks for Hardware Vulnerability Analysis— ..:

, In: 2023 IEEE 41st VLSI Test Symposium (VTS),
Alrahis, Lilas ; Sinanoglu, Ozgur - p. 1-4 , 2023
Link: https://doi.org/10.1109/..
 
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8

ShapeShifter: Protecting FPGAs from Side-Channel Attacks wi..:

, In: 2023 IEEE 29th International Symposium on On-Line Testing and Robust System Design (IOLTS),
Ahmadi, Mahya Morid ; Alrahis, Lilas ; Sinanoglu, Ozgur. - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
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9

Graph Neural Networks : A Powerful and Versatile Tool fo..:

, In: Proceedings of the 28th Asia and South Pacific Design Automation Conference,
Alrahis, Lilas ; Knechtel, Johann ; Sinanoglu, Ozgur - p. 83-90 , 2023
Link: https://dl.acm.org/doi/1..
 
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10

AutoLock: Automatic Design of Logic Locking with Evolutiona..:

, In: 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S),
Wang, Zeng ; Alrahis, Lilas ; Sisejkovic, Dominik. - p. 200-202 , 2023
Link: https://doi.org/10.1109/..
 
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11

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

, In: 2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED),
Ahmadi, Mahya Morid ; Alrahis, Lilas ; Sinanoglu, Ozgur. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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12

TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Le..:

, In: 2023 IEEE International Symposium on Circuits and Systems (ISCAS),
Lashen, Hazem ; Alrahis, Lilas ; Knechtel, Johann. - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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13

Security Closure of IC Layouts Against Hardware Trojans:

, In: Proceedings of the 2023 International Symposium on Physical Design,
Wang, Fangzhou ; Wang, Qijing ; Fu, Bangqi... - p. 229-237 , 2023
Link: https://dl.acm.org/doi/1..
 
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14

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep ..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Ahmadi, Mahya Morid ; Alrahis, Lilas ; Colucci, Alessio.. - p. 01-10 , 2022
Link: https://doi.org/10.1109/..
 
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15

GNN-RE: Graph Neural Networks for Reverse Engineering of Ga..:

Alrahis, Lilas ; Sengupta, Abhrajit ; Knechtel, Johann...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.  41 (2022)  8 - p. 2435-2448 , 2022
Link: https://doi.org/10.1109/..
 
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