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Conventional Hardware Trojan (HT) detection techniques are based on the validation of integrated circuits to determine changes in their functionality, and on non-invasive side-channel analysis to identify the variations in their physical…

Cryptography and Security · Computer Science 2018-12-10 Imran Hafeez Abbassi , Faiq Khalid , Semeen Rehman , Awais Mehmood Kamboh , Axel Jantsch , Siddharth Garg , Muhammad Shafique

A potential vulnerability for integrated circuits (ICs) is the insertion of hardware trojans (HTs) during manufacturing. Understanding the practicability of such an attack can lead to appropriate measures for mitigating it. In this paper,…

Cryptography and Security · Computer Science 2022-08-22 Alexander Hepp , Tiago Perez , Samuel Pagliarini , Georg Sigl

Fabrication-less design houses outsource their designs to 3rd party foundries to lower fabrication cost. However, this creates opportunities for a rogue in the foundry to introduce hardware Trojans, which stay inactive most of the time and…

Cryptography and Security · Computer Science 2017-05-03 Xiaotong Cui , Samah Saeed , Alwin Zulehner , Robert Wille , Rolf Drechsler , Kaijie Wu , Ramesh Karri

This paper proposes MergeGuard, a novel methodology for mitigation of AI Trojan attacks. Trojan attacks on AI models cause inputs embedded with triggers to be misclassified to an adversary's target class, posing a significant threat to…

Cryptography and Security · Computer Science 2025-05-08 Soheil Zibakhsh Shabgahi , Yaman Jandali , Farinaz Koushanfar

Along with the success of deep neural network (DNN) models, rise the threats to the integrity of these models. A recent threat is the Trojan attack where an attacker interferes with the training pipeline by inserting triggers into some of…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Marzieh Edraki , Nazmul Karim , Nazanin Rahnavard , Ajmal Mian , Mubarak Shah

Third-party intellectual property cores are essential building blocks of modern system-on-chip and integrated circuit designs. However, these design components usually come from vendors of different trust levels and may contain undocumented…

Cryptography and Security · Computer Science 2025-09-09 Wei Hu , Beibei Li , Lingjuan Wu , Yiwei Li , Xuefei Li , Liang Hong

Neural networks can conceal malicious Trojan backdoors that allow a trigger to covertly change the model behavior. Detecting signs of these backdoors, particularly without access to any triggered data, is the subject of ongoing research and…

Machine Learning · Computer Science 2024-11-07 Todd Huster , Peter Lin , Razvan Stefanescu , Emmanuel Ekwedike , Ritu Chadha

Deep neural networks are known to have security issues. One particular threat is the Trojan attack. It occurs when the attackers stealthily manipulate the model's behavior through Trojaned training samples, which can later be exploited.…

Machine Learning · Computer Science 2021-06-14 Songzhu Zheng , Yikai Zhang , Hubert Wagner , Mayank Goswami , Chao Chen

Hardware Trojans (HTs) threaten the trust and reliability of integrated circuits (ICs), particularly when triggered HTs remain dormant during standard testing and activate only under rare conditions. Existing electromagnetic (EM)…

Cryptography and Security · Computer Science 2026-02-04 Mahsa Tahghigh , Hassan Salmani

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 globalization of the Integrated Circuit (IC) supply chain, driven by time-to-market and cost considerations, has made ICs vulnerable to hardware Trojans (HTs). Against this threat, a promising approach is to use Machine Learning…

Cryptography and Security · Computer Science 2024-01-05 Behnam Omidi , Khaled N. Khasawneh , Ihsen Alouani

Deep Neural Networks (DNNs) have found extensive applications in safety-critical artificial intelligence systems, such as autonomous driving and facial recognition systems. However, recent research has revealed their susceptibility to…

Cryptography and Security · Computer Science 2024-08-20 Lingxin Jin , Xianyu Wen , Wei Jiang , Jinyu Zhan

The globalization of the semiconductor industry has introduced security challenges to Integrated Circuits (ICs), particularly those related to the threat of Hardware Trojans (HTs) - malicious logic that can be introduced during IC…

Cryptography and Security · Computer Science 2024-08-29 Mohammad Eslami , Tara Ghasempouri , Samuel Pagliarini

Many design companies have gone fabless and rely on external fabrication facilities to produce chips due to increasing cost of semiconductor manufacturing. However, not all of these facilities can be considered trustworthy; some may inject…

Cryptography and Security · Computer Science 2024-10-01 Kevin Kwiat , Jason Kulick , Paul Ratazzi

In the fourth industrial revolution, securing the protection of the supply chain has become an ever-growing concern. One such cyber threat is a hardware Trojan (HT), a malicious modification to an IC. HTs are often identified in the…

Cryptography and Security · Computer Science 2022-03-17 Kento Hasegawa , Kazuki Yamashita , Seira Hidano , Kazuhide Fukushima , Kazuo Hashimoto , Nozomu Togawa

System-on-chip (SoC) developers increasingly rely on pre-verified hardware intellectual property (IP) blocks acquired from untrusted third-party vendors. These IPs might contain hidden malicious functionalities or hardware Trojans to…

Cryptography and Security · Computer Science 2021-12-01 Pravin Gaikwad , Jonathan Cruz , Prabuddha Chakraborty , Swarup Bhunia , Tamzidul Hoque

Hardware Trojans (HTs) remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks. We introduce TrojanGYM, an agentic, LLM-driven framework that automatically…

Cryptography and Security · Computer Science 2026-01-27 Saideep Sreekumar , Zeng Wang , Akashdeep Saha , Weihua Xiao , Minghao Shao , Muhammad Shafique , Ozgur Sinanoglu , Ramesh Karri , Johann Knechtel

Hardware security has risen in prominence in recent years with concerns stemming from a globalizing semiconductor supply chain and increased third-party IP (intellectual property) usage. Trojan detection is of paramount importance for…

Cryptography and Security · Computer Science 2020-05-18 Dillon Staub , Rashmi Jha , David Kapp

Digital Manufacturing (DM) refers to the on-going adoption of smarter, more agile manufacturing processes and cyber-physical systems. This includes modern techniques and technologies such as Additive Manufacturing (AM)/3D printing, as well…

Cryptography and Security · Computer Science 2023-01-26 Prithwish Basu Roy , Mudit Bhargava , Chia-Yun Chang , Ellen Hui , Nikhil Gupta , Ramesh Karri , Hammond Pearce

Software-exploitable Hardware Trojans (HTs) enable attackers to execute unauthorized software or gain illicit access to privileged operations. This manuscript introduces a hardware-based methodology for detecting runtime HT activations…

Cryptography and Security · Computer Science 2025-09-25 Alessandro Palumbo , Ruben Salvador