Furkan Aydin

College of Engineering

Works (5)

Updated: August 30th, 2024 05:02

2024 article

Extended Abstract: Pre-Silicon Vulnerability Assessment for AI/ML Hardware

PROCEEDING OF THE GREAT LAKES SYMPOSIUM ON VLSI 2024, GLSVLSI 2024, pp. 495–495.

By: F. Aydin n, E. Karabulut n & A. Aysu n

author keywords: Pre-silicon; Side-channel analysis; pre-silicon validation; AI/ML hardware
Source: Web Of Science
Added: August 26, 2024

2024 article

Leaking secrets in homomorphic encryption with side-channel attacks

Aydin, F., & Aysu, A. (2024, January 12). JOURNAL OF CRYPTOGRAPHIC ENGINEERING.

By: F. Aydin n & A. Aysu n

author keywords: Homomorphic encryption; SEAL; Number theoretic transform; Compiler optimizations; Side-channel attacks; Machine learning
TL;DR: This article demonstrates side-channel leakages of the Microsoft SEAL HE library and proposes two attacks that can steal encryption keys during the key generation phase by abusing the leakage of ternary value assignments that occurs during the number theoretic transform (NTT) algorithm. (via Semantic Scholar)
Source: Web Of Science
Added: January 29, 2024

2022 article

Towards AI-Enabled Hardware Security: Challenges and Opportunities

2022 IEEE 28TH INTERNATIONAL SYMPOSIUM ON ON-LINE TESTING AND ROBUST SYSTEM DESIGN (IOLTS 2022).

By: H. Sayadi *, M. Aliasgari *, F. Aydin n, S. Potluri n, A. Aysu n, J. Edmonds*, S. Tehranipoor *

TL;DR: The growing role of AI/ML techniques in hardware and architecture security field is highlighted and insightful discussions on pressing challenges, opportunities, and future directions of designing accurate and efficient machine learning-based attacks and defense mechanisms in response to emerging hardware security vulnerabilities in modern computer systems and next generation of cryptosystems are provided. (via Semantic Scholar)
Source: Web Of Science
Added: October 24, 2022

2020 journal article

2Deep: Enhancing Side-Channel Attacks on Lattice-Based Key-Exchange via 2-D Deep Learning

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 40(6), 1217–1229.

By: P. Kashyap n , F. Aydin n, S. Potluri n, P. Franzon n  & A. Aysu n

author keywords: Resistance; Performance evaluation; Deep learning; Protocols; Power measurement; Side-channel attacks; NIST; Cross-device; data-augmentation; deep learning (DL); lattice-based key-exchange protocols; power side channels
TL;DR: 2Deep—a deep-learning (DL)-based SCA—targeting parallelized implementations of PQKE protocols, namely, Frodo and NewHope with data augmentation techniques are proposed, exploring approaches that convert 1-D time-series power measurement data into 2-D images to formulate SCA an image recognition task. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 10, 2021

2020 article

Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk

2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD).

By: F. Regazzoni *, S. Bhasin *, A. Pour*, I. Alshaer *, F. Aydin n, A. Aysu n, V. Beroulle *, G. Di Natale * ...

author keywords: machine learning; hardware security
TL;DR: Novel applications of machine learning for hardware security, such as evaluation of post quantum cryptography hardware and extraction of physically unclonable functions from neural networks and practical model extraction attack based on electromagnetic side-channel measurements are demonstrated. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021

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