Seetal Potluri

Works (8)

Updated: March 12th, 2024 05:01

2023 article

Scalable Scan-Chain-Based Extraction of Neural Network Models

Jiang, S., Potluri, S., & Ho, T.-Y. (2023, April 1).

By: S. Jiang *, S. Potluri n & T. Ho *

author keywords: Deep neural network; testing; scan-chain; model extraction; scalability
topics (OpenAlex): Adversarial Robustness in Machine Learning; Integrated Circuits and Semiconductor Failure Analysis; Physical Unclonable Functions (PUFs) and Hardware Security
TL;DR: The results show that the method outperforms the scan-chain attack proposed in ICCAD 2021 by an average increase in the extracted neural network's functional accuracy and 2–3 orders of reduction in queries, and it is demonstrated that the attack is highly effective even in the presence of countermeasures against adversarial samples. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: March 11, 2024

2022 article

SeqL+: Secure Scan-Obfuscation With Theoretical and Empirical Validation

Potluri, S., Kundu, S., Kumar, A., Basu, K., & Aysu, A. (2022, August 15). IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 8.

By: S. Potluri n, S. Kundu *, A. Kumar *, K. Basu * & A. Aysu n 

author keywords: Flip-flops; Logic gates; Security; Complexity theory; Resists; Resilience; Iterative algorithms; IP piracy; scan-chains; scan-scrambling
topics (OpenAlex): Physical Unclonable Functions (PUFs) and Hardware Security; Integrated Circuits and Semiconductor Failure Analysis; Neuroscience and Neural Engineering
TL;DR: This study reveals the first formulation and complexity analysis of Boolean satisfiability (SAT)-based attack on scan-scrambling and proposes an iterative swapping-based scan-cell scrambling algorithm to defeat SAT-based attack. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 5, 2023

2022 article

Towards AI-Enabled Hardware Security: Challenges and Opportunities

Sayadi, H., Aliasgari, M., Aydin, F., Potluri, S., Aysu, A., Edmonds, J., & Tehranipoor, S. (2022, September 12).

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

topics (OpenAlex): Physical Unclonable Functions (PUFs) and Hardware Security; Security and Verification in Computing; Advanced Malware Detection Techniques
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

2021 article

Stealing Neural Network Models through the Scan Chain: A New Threat for ML Hardware

Potluri, S., & Aysu, A. (2021, November 1). 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

By: S. Potluri n & A. Aysu n 

topics (OpenAlex): Adversarial Robustness in Machine Learning; Physical Unclonable Functions (PUFs) and Hardware Security; Integrated Circuits and Semiconductor Failure Analysis
TL;DR: This paper shows a new style of attack, for the first time, on ML models running on embedded devices by abusing the scan-chain infrastructure, and outperforms mathematical model extraction proposed in CRYPTO 2020, USENIX 2020, and ICML 2020. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: Web Of Science
Added: February 21, 2022

2021 article

iTimed: Cache Attacks on the Apple A10 Fusion SoC

Haas, G., Potluri, S., & Aysu, A. (2021, December 12).

By: G. Haas  n, S. Potluri n & A. Aysu n 

topics (OpenAlex): Security and Verification in Computing; Physical Unclonable Functions (PUFs) and Hardware Security; Cryptographic Implementations and Security
TL;DR: It is found that the first cache timing side-channel attack on one of Apple's mobile devices can reduce the security of OpenSSL AES-128 by 50 more bits than a straightforward adaptation of PRIME+PROBE, while requiring only half as many side channel measurement traces. (via Semantic Scholar)
Source: Web Of Science
Added: June 13, 2022

2020 article

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

Kashyap, P., Aydin, F., Potluri, S., Franzon, P. D., & Aysu, A. (2020, November 17). IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 6, pp. 1–1.

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
topics (OpenAlex): Cryptographic Implementations and Security; Physical Unclonable Functions (PUFs) and Hardware Security; Security and Verification in Computing
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

Regazzoni, F., Bhasin, S., Pour, A. A., Alshaer, I., Aydin, F., Aysu, A., … Yli-Mäyry, V. (2020, November 2). 2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD), Vol. 11.

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

author keywords: machine learning; hardware security
topics (OpenAlex): Physical Unclonable Functions (PUFs) and Hardware Security; Advanced Malware Detection Techniques; Adversarial Robustness in Machine Learning
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

2020 article

Security of Microfluidic Biochip

Chen, H., Potluri, S., & Koushanfar, F. (2020, April 21). ACM Transactions on Design Automation of Electronic Systems.

By: H. Chen *, S. Potluri n & F. Koushanfar *

author keywords: Microfluidic biochip; security; hardware Trojans; hardware obfuscation; camouflaging; Trojan detection
topics (OpenAlex): Physical Unclonable Functions (PUFs) and Hardware Security; Electrowetting and Microfluidic Technologies; Neuroscience and Neural Engineering
TL;DR: This article proposes a systematic framework for applying Reverse Engineering (RE) attacks and Hardware Trojan (HT) attacks on MFBs as well as for practical countermeasures against the proposed attacks. (via Semantic Scholar)
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Source: Web Of Science
Added: November 16, 2020

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