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In machine learning Trojan attacks, an adversary trains a corrupted model that obtains good performance on normal data but behaves maliciously on data samples with certain trigger patterns. Several approaches have been proposed to detect…

Artificial Intelligence · Computer Science 2020-10-02 Xiaojun Xu , Qi Wang , Huichen Li , Nikita Borisov , Carl A. Gunter , Bo Li

Secure and trustworthy execution in heterogeneous SoCs is a major priority in the modern computing system. Security of SoCs mainly addresses two broad layers of trust issues: 1. Protection against hardware security threats(Side-channel, IP…

Cryptography and Security · Computer Science 2022-09-28 Muhammed Kawser Ahmed , Sujan Kumar Saha , Christophe Bobda

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

The recent surge in hardware security is significant due to offshoring the proprietary Intellectual property (IP). One distinct dimension of the disruptive threat is malicious logic insertion, also known as Hardware Trojan (HT). HT subverts…

Cryptography and Security · Computer Science 2019-12-24 Sheikh Ariful Islam , Farha Islam Mime , S M Asaduzzaman , Farzana Islam

Recently, it has been shown that deep learning models are vulnerable to Trojan attacks, where an attacker can install a backdoor during training time to make the resultant model misidentify samples contaminated with a small trigger patch.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-11 Haripriya Harikumar , Vuong Le , Santu Rana , Sourangshu Bhattacharya , Sunil Gupta , Svetha Venkatesh

In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of backdoor poisoning attacks on ML malware classifiers. For instance, adversaries could inject malicious…

Machine Learning · Computer Science 2026-02-13 Dung Thuy Nguyen , Ngoc N. Tran , Taylor T. Johnson , Kevin Leach

Hardware Trojans (HTs) have become a serious problem, and extermination of them is strongly required for enhancing the security and safety of integrated circuits. An effective solution is to identify HTs at the gate level via machine…

Cryptography and Security · Computer Science 2022-05-30 Kento Hasegawa , Seira Hidano , Kohei Nozawa , Shinsaku Kiyomoto , Nozomu Togawa

Hardware Trojans are malicious modifications in digital designs that can be inserted by untrusted supply chain entities. Hardware Trojans can give rise to diverse attack vectors such as information leakage (e.g. MOLES Trojan) and…

Cryptography and Security · Computer Science 2025-02-21 Tanzim Mahfuz , Pravin Gaikwad , Tasneem Suha , Swarup Bhunia , Prabuddha Chakraborty

The use of third-party IP cores in implementing applications in FPGAs has given rise to the threat of malicious alterations through the insertion of hardware Trojans. To address this threat, it is important to predict the way hardware…

Hardware Architecture · Computer Science 2020-04-06 Ash Luft , Mihai Sima , Michael McGuire

The globalized semiconductor supply chain has made Hardware Trojans (HT) a significant security threat to embedded systems, necessitating the design of efficient and adaptable detection mechanisms. Despite promising machine learning-based…

Cryptography and Security · Computer Science 2025-10-29 Zhixin Pan , Ziyu Shu , Linh Nguyen , Amberbir Alemayoh

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

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

Hardware intellectual property (IP) in the globalized integrated circuit (IC) supply chain is exposed to a wide range of confidentiality and integrity attacks by untrusted third-party entities. Existing IP-level countermeasures, such as…

Cryptography and Security · Computer Science 2026-04-07 Aritra Dasgupta , Sudipta Paria , Swarup Bhunia

In order to perform machine learning among multiple parties while protecting the privacy of raw data, privacy-preserving machine learning based on secure multi-party computation (MPL for short) has been a hot spot in recent. The…

Cryptography and Security · Computer Science 2022-11-17 Lushan Song , Jiaxuan Wang , Zhexuan Wang , Xinyu Tu , Guopeng Lin , Wenqiang Ruan , Haoqi Wu , Weili Han

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

Cyber-physical systems (CPS) provide profitable surfaces for hardware attacks such as hardware Trojans. Hardware Trojans can implement stealthy attacks such as leaking critical information, taking control of devices or harm humans. In this…

Cryptography and Security · Computer Science 2023-01-09 Sofia Maragkou , Axel Jantsch

Modern machine learning (ML) models are expensive IP and business competitiveness often depends on keeping this IP confidential. This in turn restricts how these models are deployed; for example, it is unclear how to deploy a model…

Cryptography and Security · Computer Science 2025-03-11 Eleanor Clifford , Adhithya Saravanan , Harry Langford , Cheng Zhang , Yiren Zhao , Robert Mullins , Ilia Shumailov , Jamie Hayes

Hardware trojans are malicious circuits which compromise the functionality and security of an integrated circuit (IC). These circuits are manufactured directly into the silicon and cannot be fixed by security patches like software. The…

Machine Learning · Computer Science 2026-05-21 Paul Whitten , Francis Wolff , Chris Papachristou

This work corroborates a run-time Trojan detection method exploiting STRong Intentional Perturbation of inputs, is a multi-domain Trojan detection defence across Vision, Text and Audio domains---thus termed as STRIP-ViTA. Specifically,…

Cryptography and Security · Computer Science 2019-11-26 Yansong Gao , Yeonjae Kim , Bao Gia Doan , Zhi Zhang , Gongxuan Zhang , Surya Nepal , Damith C. Ranasinghe , Hyoungshick Kim

In this survey, we will explore the interaction between secure multiparty computation and the area of machine learning. Recent advances in secure multiparty computation (MPC) have significantly improved its applicability in the realm of…

Cryptography and Security · Computer Science 2025-05-22 Taobo Liao , Taoran Li , Prathamesh Nadkarni