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Aydin Aysu

As seen in: ACM - Association for Computing Machinery
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Articles by Aydin Aysu

Proceedings of the 14th International Workshop on Hardware and Architectural Support for Security and Privacy

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By Aydin Aysu, Harshvadan Mihir, Alexis Bagia
| ACM - Association for Computing Machinery
__Secure-ROLLOUT_TOKENUsed to track user’s interaction with embedded content. Maximum Storage Duration: 180 daysType: HTTP Cookie __Secure-YECStores the user's video player preferences using embedded YouTube video Maximum Storage Duration: SessionType: HTTP Cookie LAST_RESULT_ENTRY_KEYUsed to track user’s interaction with embedded content. Maximum Storage Duration: SessionType: HTTP Cookie LogsDatabaseV2:V#||LogsRequestsStoreUsed to track user’s interaction with embedded content.
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W44 - Securing Neural Networks Against Side-Channel Attacks with Hardware Masking

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By Aydin Aysu
| nanohub.org
Abstract Your feedback matters! Help us gain a better understanding of your learning experience. We invite you to complete the following 3-question survey prior to watching this webinar, and complete the following short survey after watching. Thank you. Intellectual Property (IP) thefts of trained machine learning (ML) models through side-channel attacks on inference engines are becoming a major threat.
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THEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs

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By Arsalan Ali, Aydin Aysu, Amro Awad
| arXiv
[Submitted on 31 Mar 2024 ( v1 ), last revised 24 Apr 2025 (this version, v2)] Title:THEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs View a PDF of the paper titled THEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs, by Emre Karabulut and 2 other authors View PDF HTML (experimental) Abstract:Using correct design metrics and understanding the limitations of the underlying technology is critical to developing...
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Leaking Secrets in Homomorphic Encryption with Side-Channel Attacks

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By Aydin Aysu, Furkan Aydin
| eprint.iacr.org
Paper 2023/1128 Leaking Secrets in Homomorphic Encryption with Side-Channel Attacks , North Carolina State University , North Carolina State University Abstract Homomorphic encryption (HE) allows computing encrypted data in the ciphertext domain without knowing the encryption key. It is possible, however, to break fully homomorphic encryption (FHE) algorithms by using side channels. This article demonstrates side-channel leakages of the Microsoft SEAL HE library.
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A Hardware-Software Co-Design for the Discrete Gaussian Sampling of FALCON Digital Signature

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By Aydin Aysu
| eprint.iacr.org
Paper 2023/908 Emre Karabulut , North Carolina State University Aydin Aysu , North Carolina State University Abstract Sampling random values from a discrete Gaussian distribution with high precision is a major and computationally intensive operation of upcoming or existing cryptographic standards.
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DesignCon Keynote: Cryptography Faces Quantum Computing Attacks

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By Aydin Aysu
DesignCon Keynote: Cryptography Faces Quantum Computing Attacks Image courtesy of Spencer Chin DesignCon Tuesday keynote session speaker Aydin Aysu warned that that quantum computers threaten to code break existing cryptographic algorithms unless they are updated.” Keynote session speaker Aydin Aysu, Assistant Professor and H ead of the Hardware Cybersecurity Research Lab (HECTOR) at Electrical & Computer Engineering Department of North Carolina University, expressed great concern that...
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