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相关论文: Raise Your Game for Split Manufacturing: Restoring…

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Here we advance the protection of split manufacturing (SM)-based layouts through the judicious and well-controlled handling of interconnects. Initially, we explore the cost-security trade-offs of SM, which are limiting its adoption. Aiming…

密码学与安全 · 计算机科学 2018-06-05 Satwik Patnaik , Johann Knechtel , Mohammed Ashraf , Ozgur Sinanoglu

The notion of integrated circuit split manufacturing which delegates the front-end-of-line (FEOL) and back-end-of-line (BEOL) parts to different foundries, is to prevent overproduction, piracy of the intellectual property (IP), or targeted…

Split manufacturing was introduced as an effective countermeasure against hardware-level threats such as IP piracy, overbuilding, and insertion of hardware Trojans. Nevertheless, the security promise of split manufacturing has been…

密码学与安全 · 计算机科学 2019-06-05 Abhrajit Sengupta , Mohammed Nabeel , Johann Knechtel , Ozgur Sinanoglu

In today's integrated circuit (IC) ecosystem, owning a foundry is not economically viable, and therefore most IC design houses are now working under a fabless business model. In order to overcome security concerns associated with the…

密码学与安全 · 计算机科学 2020-10-13 Tiago D. Perez , Samuel Pagliarini

Split manufacturing is a promising technique to defend against fab-based malicious activities such as IP piracy, overbuilding, and insertion of hardware Trojans. However, a network flow-based proximity attack, proposed by Wang et al.…

密码学与安全 · 计算机科学 2017-12-21 Abhrajit Sengupta , Satwik Patnaik , Johann Knechtel , Mohammed Ashraf , Siddharth Garg , Ozgur Sinanoglu

Split manufacturing (SM) and layout camouflaging (LC) are two promising techniques to obscure integrated circuits (ICs) from malicious entities during and after manufacturing. While both techniques enable protecting the intellectual…

密码学与安全 · 计算机科学 2019-08-13 Satwik Patnaik , Mohammed Ashraf , Ozgur Sinanoglu , Johann Knechtel

With the globalization of manufacturing and supply chains, ensuring the security and trustworthiness of ICs has become an urgent challenge. Split manufacturing (SM) and layout camouflaging (LC) are promising techniques to protect the…

密码学与安全 · 计算机科学 2019-06-07 Satwik Patnaik , Mohammed Ashraf , Ozgur Sinanoglu , Johann Knechtel

Layout camouflaging can protect the intellectual property of modern circuits. Most prior art, however, incurs excessive layout overheads and necessitates customization of active-device manufacturing processes, i.e., the front-end-of-line…

密码学与安全 · 计算机科学 2020-03-25 Satwik Patnaik , Mohammed Ashraf , Ozgur Sinanoglu , Johann Knechtel

Layout camouflaging (LC) is a promising technique to protect chip design intellectual property (IP) from reverse engineers. Most prior art, however, cannot leverage the full potential of LC due to excessive overheads and/or their limited…

密码学与安全 · 计算机科学 2017-12-21 Satwik Patnaik , Mohammed Ashraf , Johann Knechtel , Ozgur Sinanoglu

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

Obfuscation is a technique for protecting hardware intellectual property (IP) blocks against reverse engineering, piracy, and malicious modifications. Current obfuscation efforts mainly focus on functional locking of a design to prevent…

密码学与安全 · 计算机科学 2018-10-01 Prabuddha Chakraborty , Jonathan Cruz , Swarup Bhunia

Semiconductor intellectual property (IP) theft incurs estimated annual losses ranging from $225 billion to $600 billion. Despite initiatives like the CHIPS Act, many semiconductor designs remain vulnerable to reverse engineering (RE). IP…

密码学与安全 · 计算机科学 2026-01-19 Junling Fan , George Rushevich , Giorgio Rusconi , Mengdi Zhu , Reiner Dizon-Paradis , Domenic Forte

Split learning (SL) is a new collaborative learning technique that allows participants, e.g. a client and a server, to train machine learning models without the client sharing raw data. In this setting, the client initially applies its part…

密码学与安全 · 计算机科学 2023-09-19 Tanveer Khan , Khoa Nguyen , Antonis Michalas

Security is an important facet of integrated circuit design for many applications. IP privacy and Trojan insertion are growing threats as circuit fabrication in advanced nodes almost inevitably relies on untrusted foundries. A proposed…

密码学与安全 · 计算机科学 2020-05-21 Joseph Sweeney , Samuel Pagliarini , Lawrence Pileggi

Current algorithms for large-scale industrial optimization problems typically face a trade-off: they either require exponential time to reach optimal solutions, or employ problem-specific heuristics. To overcome these limitations, we…

量子物理 · 物理学 2025-10-16 Matteo Vandelli , Francesco Ferrari , Daniele Dragoni

Compartmentalization is a form of defensive software design in which an application is broken down into isolated but communicating components. Retrofitting compartmentalization into existing applications is often thought to be expensive…

密码学与安全 · 计算机科学 2023-09-22 John Alistair Kressel , Hugo Lefeuvre , Pierre Olivier

Split Learning (SL) is a collaborative learning approach that improves privacy by keeping data on the client-side while sharing only the intermediate output with a server. However, the distributed nature of SL introduces new security…

机器学习 · 计算机科学 2025-08-15 Tanveer Khan , Antonis Michalas

While additive manufacturing has opened interesting avenues to reimagine manufacturing as a service (MaaS) platform, transmission of design files from client to manufacturer over networks opens up many cybersecurity challenges. Securing…

密码学与安全 · 计算机科学 2025-07-15 Seyed Ali Ghazi Asgar , Narasimha Reddy , Satish T. S. Bukkapatnam

The era of widespread globalization has led to the emergence of hardware-centric security threats throughout the IC supply chain. Prior defenses like logic locking, layout camouflaging, and split manufacturing have been researched…

密码学与安全 · 计算机科学 2020-07-09 Nikhil Rangarajan , Satwik Patnaik , Johann Knechtel , Ramesh Karri , Ozgur Sinanoglu , Shaloo Rakheja

Fine-tuning unlocks large language models (LLMs) for specialized applications, but its high computational cost often puts it out of reach for resource-constrained organizations. While cloud platforms could provide the needed resources, data…

密码学与安全 · 计算机科学 2026-04-28 Zihan Liu , Yizhen Wang , Rui Wang , Xiu Tang , Sai Wu
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