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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…

密码学与安全 · 计算机科学 2022-02-16 Jie Wang , Ghulam Mubashar Hassan , Naveed Akhtar

Due to the globalization of Integrated Circuit (IC) supply chain, hardware trojans and the attacks that can trigger them have become an important security issue. One type of hardware Trojans leverages the don't care transitions in Finite…

符号计算 · 计算机科学 2021-11-09 Ruochen Dai , Tuba Yavuz

Randomized benchmarking is a powerful technique to efficiently estimate the performance and reliability of quantum gates, circuits and devices. Here we propose to perform randomized benchmarking in a coherent way, where superpositions of…

量子物理 · 物理学 2021-07-14 Jorge Miguel-Ramiro , Alexander Pirker , Wolfgang Dür

Benchmarking is the de-facto standard for evaluating LLMs, due to its speed, replicability and low cost. However, recent work has pointed out that the majority of the open source benchmarks available today have been contaminated or leaked…

密码学与安全 · 计算机科学 2024-06-25 Tanmay Rajore , Nishanth Chandran , Sunayana Sitaram , Divya Gupta , Rahul Sharma , Kashish Mittal , Manohar Swaminathan

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…

密码学与安全 · 计算机科学 2021-04-21 Hammond Pearce , Kaushik Yanamandra , Nikhil Gupta , Ramesh Karri

Deep neural networks are vulnerable to Trojan attacks. Existing attacks use visible patterns (e.g., a patch or image transformations) as triggers, which are vulnerable to human inspection. In this paper, we propose stealthy and efficient…

计算机视觉与模式识别 · 计算机科学 2022-05-27 Zhenting Wang , Juan Zhai , Shiqing Ma

The increasing cost of integrated circuit (IC) fabrication has driven most companies to "go fabless" over time. The corresponding outsourcing trend gave rise to various attack vectors, e.g., illegal overproduction of ICs, piracy of the…

密码学与安全 · 计算机科学 2019-02-26 Johann Knechtel , Satwik Patnaik , Ozgur Sinanoglu

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…

计算机视觉与模式识别 · 计算机科学 2020-12-09 Marzieh Edraki , Nazmul Karim , Nazanin Rahnavard , Ajmal Mian , Mubarak Shah

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…

密码学与安全 · 计算机科学 2025-09-25 Alessandro Palumbo , Ruben Salvador

Boot firmware, like UEFI-compliant firmware, has been the target of numerous attacks, giving the attacker control over the entire system while being undetected. The measured boot mechanism of a computer platform ensures its integrity by…

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,…

密码学与安全 · 计算机科学 2022-08-30 Vasudev Gohil , Hao Guo , Satwik Patnaik , Jeyavijayan , Rajendran

Bounded Model Checking (BMC) is a widely used software verification technique. Despite its successes, the technique has several limiting factors, from state-space explosion to lack of completeness. Over the years, interval analysis has…

In this paper, we introduce the TrojAI software framework, an open source set of Python tools capable of generating triggered (poisoned) datasets and associated deep learning (DL) models with trojans at scale. We utilize the developed…

机器学习 · 计算机科学 2020-03-17 Kiran Karra , Chace Ashcraft , Neil Fendley

When the training data are maliciously tampered, the predictions of the acquired deep neural network (DNN) can be manipulated by an adversary known as the Trojan attack (or poisoning backdoor attack). The lack of robustness of DNNs against…

机器学习 · 计算机科学 2020-08-03 Ren Wang , Gaoyuan Zhang , Sijia Liu , Pin-Yu Chen , Jinjun Xiong , Meng Wang

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)…

密码学与安全 · 计算机科学 2026-02-04 Mahsa Tahghigh , Hassan Salmani

Research in logic encryption over the last decade has resulted in various techniques to prevent different security threats such as Trojan insertion, intellectual property leakage, and reverse engineering. However, there is little agreement…

密码学与安全 · 计算机科学 2020-07-31 Yinghua Hu , Vivek V. Menon , Andrew Schmidt , Joshua Monson , Matthew French , Pierluigi Nuzzo

In its many variants, randomized benchmarking (RB) is a broadly used technique for assessing the quality of gate implementations on quantum computers. A detailed theoretical understanding and general guarantees exist for the functioning and…

量子物理 · 物理学 2023-06-28 Markus Heinrich , Martin Kliesch , Ingo Roth

Modern IoT and embedded platforms must start execution from a known trusted state to thwart malware, ensure secure firmware updates, and protect critical infrastructure. Current approaches to establish a root of trust depend on secret keys…

密码学与安全 · 计算机科学 2025-09-30 Friedrich Doku , Peter Dinda

The semiconductor industry is fully globalized and integrated circuits (ICs) are commonly defined, designed and fabricated in different premises across the world. This reduces production costs, but also exposes ICs to supply chain attacks,…

密码学与安全 · 计算机科学 2017-10-31 Vasilios Mavroudis , Andrea Cerulli , Petr Svenda , Dan Cvrcek , Dusan Klinec , George Danezis

Recent studies have shown that recommender systems (RSs) are highly vulnerable to data poisoning attacks. Understanding attack tactics helps improve the robustness of RSs. We intend to develop efficient attack methods that use limited…

密码学与安全 · 计算机科学 2024-02-15 Shiyi Yang , Lina Yao , Chen Wang , Xiwei Xu , Liming Zhu