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Despite their success and popularity, deep neural networks (DNNs) are vulnerable when facing backdoor attacks. This impedes their wider adoption, especially in mission critical applications. This paper tackles the problem of Trojan…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Xiaoling Hu , Xiao Lin , Michael Cogswell , Yi Yao , Susmit Jha , Chao Chen

Open-source Large Language Models (LLMs) have recently gained popularity because of their comparable performance to proprietary LLMs. To efficiently fulfill domain-specialized tasks, open-source LLMs can be refined, without expensive…

Cryptography and Security · Computer Science 2024-09-12 Tian Dong , Minhui Xue , Guoxing Chen , Rayne Holland , Yan Meng , Shaofeng Li , Zhen Liu , Haojin Zhu

Outsourcing integrated circuit (IC) manufacturing to offshore foundries has grown exponentially in recent years. Given the critical role of ICs in the control and operation of vehicular systems and other modern engineering designs, such…

Information Theory · Computer Science 2017-03-23 Walid Saad , Anibal Sanjab , Yunpeng Wang , Charles Kamhoua , Kevin Kwiat

With the surge of Machine Learning (ML), An emerging amount of intelligent applications have been developed. Deep Neural Networks (DNNs) have demonstrated unprecedented performance across various fields such as medical diagnosis and…

Cryptography and Security · Computer Science 2022-04-12 Xinqiao Zhang , Huili Chen , Ke Huang , Farinaz Koushanfar

This paper discusses the possible introduction of hidden reliability defects during CMOS foundry fabrication processes that may lead to accelerated wearout of the devices. These hidden defects or hardware Trojans can be created by deviation…

Hardware Architecture · Computer Science 2009-06-23 Y. Shiyanovskii , F. Wolff , C. Papachristou , D. Weyer , W. Clay

The security of deep neural networks (DNNs) has attracted increasing attention due to their widespread use in various applications. Recently, the deployed DNNs have been demonstrated to be vulnerable to Trojan attacks, which manipulate…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Jiawang Bai , Kuofeng Gao , Dihong Gong , Shu-Tao Xia , Zhifeng Li , Wei Liu

Analog and mixed-signal (A/MS) integrated circuits (ICs) are crucial in modern electronics, playing key roles in signal processing, amplification, sensing, and power management. Many IC companies outsource manufacturing to third-party…

Cryptography and Security · Computer Science 2024-08-30 Jayeeta Chaudhuri , Dhruv Thapar , Arjun Chaudhuri , Farshad Firouzi , Krishnendu Chakrabarty

To reduce the cost of ICs and to meet the market's demand, a considerable portion of manufacturing supply chain, including silicon fabrication, packaging and testing may be pushed offshore. Utilizing a global IC manufacturing supply chain,…

Cryptography and Security · Computer Science 2019-05-16 Kimia Zamiri Azar , Hadi Mardani Kamali , Houman Homayoun , Avesta Sasan

As modern hardware designs grow in complexity and size, ensuring security across the confidentiality, integrity, and availability (CIA) triad becomes increasingly challenging. Information flow tracking (IFT) is a widely-used approach to…

Cryptography and Security · Computer Science 2025-04-10 Nowfel Mashnoor , Mohammad Akyash , Hadi Kamali , Kimia Azar

We propose TrojanSAINT, a graph neural network (GNN)-based hardware Trojan (HT) detection scheme working at the gate level. Unlike prior GNN-based art, TrojanSAINT enables both pre-/post-silicon HT detection. TrojanSAINT leverages a…

Cryptography and Security · Computer Science 2023-01-30 Hazem Lashen , Lilas Alrahis , Johann Knechtel , Ozgur Sinanoglu

Deep Neural Networks are vulnerable to Trojan (or backdoor) attacks. Reverse-engineering methods can reconstruct the trigger and thus identify affected models. Existing reverse-engineering methods only consider input space constraints,…

Cryptography and Security · Computer Science 2022-10-28 Zhenting Wang , Kai Mei , Hailun Ding , Juan Zhai , Shiqing Ma

Analog and mixed-signal (A/MS) integrated circuits (ICs) are integral to safety-critical applications. However, the globalization and outsourcing of A/MS ICs to untrusted third-party foundries expose them to security threats, particularly…

Cryptography and Security · Computer Science 2025-05-13 Jayeeta Chaudhuri , Arjun Chaudhuri , Krishnendu Chakrabarty

Logic locking is used to protect integrated circuits (ICs) from piracy and counterfeiting. An encrypted IC implements the correct function only when the right key is input. Many existing logic-locking methods are subject to the powerful…

Cryptography and Security · Computer Science 2021-03-30 Jingbo Zhou , Xinmiao Zhang

Trojan attacks on deep neural networks are both dangerous and surreptitious. Over the past few years, Trojan attacks have advanced from using only a single input-agnostic trigger and targeting only one class to using multiple,…

Cryptography and Security · Computer Science 2023-02-15 Kien Do , Haripriya Harikumar , Hung Le , Dung Nguyen , Truyen Tran , Santu Rana , Dang Nguyen , Willy Susilo , Svetha Venkatesh

The threat of inserting hardware Trojans during the design, production, or in-field poses a danger for integrated circuits in real-world applications. A particular critical case of hardware Trojans is the malicious manipulation of…

Cryptography and Security · Computer Science 2019-10-04 Maik Ender , Pawel Swierczynski , Sebastian Wallat , Matthias Wilhelm , Paul Martin Knopp , Christof Paar

The integration of Large Language Models (LLMs) in K--12 education offers both transformative opportunities and emerging risks. This study explores how students may Trojanize prompts to elicit unsafe or unintended outputs from LLMs,…

Cryptography and Security · Computer Science 2025-07-22 Richard M. Charles , James H. Curry , Richard B. Charles

With the globalization of the semiconductor manufacturing process, electronic devices are powerless against malicious modification of hardware in the supply chain. The ever-increasing threat of hardware Trojan attacks against integrated…

Cryptography and Security · Computer Science 2019-03-13 Kyle Worley , Md Tauhidur Rahman

The availability of wide-ranging third-party intellectual property (3PIP) cores enables integrated circuit (IC) designers to focus on designing high-level features in ASICs/SoCs. The massive proliferation of ICs brings with it an increased…

Machine Learning · Computer Science 2022-03-07 Nikhil Muralidhar , Abdullah Zubair , Nathanael Weidler , Ryan Gerdes , Naren Ramakrishnan

Artificial Intelligence (AI) relies heavily on deep learning - a technology that is becoming increasingly popular in real-life applications of AI, even in the safety-critical and high-risk domains. However, it is recently discovered that…

Cryptography and Security · Computer Science 2022-02-16 Jie Wang , Ghulam Mubashar Hassan , Naveed Akhtar

This paper reports a novel approach that uses transistor aging in an integrated circuit (IC) to detect hardware Trojans. When a transistor is aged, it results in delays along several paths of the IC. This increase in delay results in timing…

Hardware Architecture · Computer Science 2020-11-13 Virinchi Roy Surabhi , Prashanth Krishnamurthy , Hussam Amrouch , Kanad Basu , Jörg Henkel , Ramesh Karri , Farshad Khorrami
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