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We propose CLEANN, the first end-to-end framework that enables online mitigation of Trojans for embedded Deep Neural Network (DNN) applications. A Trojan attack works by injecting a backdoor in the DNN while training; during inference, the…

Machine Learning · Computer Science 2020-09-08 Mojan Javaheripi , Mohammad Samragh , Gregory Fields , Tara Javidi , Farinaz Koushanfar

While neural networks demonstrate stronger capabilities in pattern recognition nowadays, they are also becoming larger and deeper. As a result, the effort needed to train a network also increases dramatically. In many cases, it is more…

Cryptography and Security · Computer Science 2025-08-19 Yuntao Liu , Yang Xie , Ankur Srivastava

Integrated circuit (IC) camouflaging is a promising technique to protect the design of a chip from reverse engineering. However, recent work has shown that even camouflaged ICs can be reverse engineered from the observed input/output…

Cryptography and Security · Computer Science 2017-10-31 Mohamed El Massad , Siddharth Garg , Mahesh Tripunitara

With the growth of embedded systems, VLSI design phases complexity and cost factors across the globe and has become outsourced. Modern computing ICs are now using system-on-chip for better on-chip processing and communication. In the era of…

Cryptography and Security · Computer Science 2022-09-29 Vedant Ghodke , Shubham Deshmukh , Atharva Deshpande , Ninad Ekbote , Swati Shilaskar

Stealthy hardware Trojans (HTs) inserted during the fabrication of integrated circuits can bypass the security of critical infrastructures. Although researchers have proposed many techniques to detect HTs, several limitations exist,…

Cryptography and Security · Computer Science 2022-08-30 Vasudev Gohil , Hao Guo , Satwik Patnaik , Jeyavijayan , Rajendran

Large Language Models (LLMs) are progressively being utilized as machine learning services and interface tools for various applications. However, the security implications of LLMs, particularly in relation to adversarial and Trojan attacks,…

Cryptography and Security · Computer Science 2023-11-01 Jiaqi Xue , Mengxin Zheng , Ting Hua , Yilin Shen , Yepeng Liu , Ladislau Boloni , Qian Lou

Increasing design complexity and reduced time-to-market have motivated manufacturers to outsource some parts of the System-on-Chip (SoC) design flow to third-party vendors. This provides an opportunity for attackers to introduce hardware…

Cryptography and Security · Computer Science 2024-04-18 Aruna Jayasena , Prabhat Mishra

Recently, Li et al. (Int J Theor Phys: DOI: 10.1007/s10773-020-04588-w, 2020) proposed a multiparty quantum key agreement protocol via non-maximally entangled cluster states. They claimed that the proposed protocol can help all the involved…

Quantum Physics · Physics 2021-02-03 Jun Gu , Tzonelih Hwang

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

Polar codes are a new class of error correcting linear block codes, whose generator matrix is specified by the knowledge of transmission channel parameters, code length and code dimension. Moreover, regarding computational security, it is…

Cryptography and Security · Computer Science 2014-01-08 Reza Hooshmand

Programmable Logic Controllers (PLCs) play a critical role in the industrial control systems. Vulnerabilities in PLC programs might lead to attacks causing devastating consequences to the critical infrastructure, as shown in Stuxnet and…

Cryptography and Security · Computer Science 2021-03-24 Ruimin Sun , Alejandro Mera , Long Lu , David Choffnes

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

Large language models (LLMs) have achieved remarkable success across diverse applications but remain vulnerable to jailbreak attacks, where attackers craft prompts that bypass safety alignment and elicit unsafe responses. Among existing…

Computation and Language · Computer Science 2026-03-04 Zhi Xu , Jiaqi Li , Xiaotong Zhang , Hong Yu , Han Liu

We present a Trojan (backdoor or trapdoor) attack that targets deep learning applications in wireless communications. A deep learning classifier is considered to classify wireless signals using raw (I/Q) samples as features and modulation…

Networking and Internet Architecture · Computer Science 2019-10-25 Kemal Davaslioglu , Yalin E. Sagduyu

Authors of cryptographic software are well aware that their code should not leak secrets through its timing behavior, and, until 2018, they believed that following industry-standard constant-time coding guidelines was sufficient. However,…

Cryptography and Security · Computer Science 2025-09-11 Shixin Song , Tingzhen Dong , Kosi Nwabueze , Julian Zanders , Andres Erbsen , Adam Chlipala , Mengjia Yan

Large language models (LLMs) have provided a lot of exciting new capabilities in software development. However, the opaque nature of these models makes them difficult to reason about and inspect. Their opacity gives rise to potential…

Software Engineering · Computer Science 2024-05-07 Aftab Hussain , Md Rafiqul Islam Rabin , Toufique Ahmed , Bowen Xu , Premkumar Devanbu , Mohammad Amin Alipour

In recent years, quantum computing has started to demonstrate superior efficiency to classical computing. In quantum computing, quantum circuits that implement specific quantum algorithms are usually not directly executable on quantum…

Quantum Physics · Physics 2025-08-19 Yuntao Liu , Jayden John , Qian Wang

Additive Manufacturing (AM) systems such as 3D printers use inexpensive microcontrollers that rarely feature cybersecurity defenses. This is a risk, especially given the rising threat landscape within the larger digital manufacturing…

Cryptography and Security · Computer Science 2021-04-21 Hammond Pearce , Kaushik Yanamandra , Nikhil Gupta , Ramesh Karri

A long-standing challenge is the design of chips resilient to faults and glitches. Both fine-grained gate diversity and coarse-grained modular redundancy have been used in the past. However, these approaches have not been well-studied under…

Cryptography and Security · Computer Science 2025-04-16 Ahmad T. Sheikh , Ali Shoker , Suhaib A. Fahmy , Paulo Esteves-Verissimo

With current tools and technology, someone who has physical access to a chip can extract the detailed layout of the integrated circuit (IC). By using advanced visual imaging techniques, reverse engineering can reveal details that are meant…

Cryptography and Security · Computer Science 2016-05-04 Maria I. Mera Collantes , Mohamed El Massad , Siddharth Garg