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Being an emerging class of in-memory computing architecture, brain-inspired hyperdimensional computing (HDC) mimics brain cognition and leverages random hypervectors (i.e., vectors with a dimensionality of thousands or even more) to…

Machine Learning · Computer Science 2020-06-11 Fangfang Yang , Shaolei Ren

The IP-stride prefetcher has recently been exploited to leak secrets through side-channel attacks. It, however, cannot be simply disabled for security with prefetching speedup as a sacrifice. The state-of-the-art defense tries to retain the…

Cryptography and Security · Computer Science 2026-03-10 Xingzhi Zhang , Buyi Lv , Yimin Lu , Kai Bu

Deep neural networks are being widely deployed for many critical tasks due to their high classification accuracy. In many cases, pre-trained models are sourced from vendors who may have disrupted the training pipeline to insert Trojan…

Computer Vision and Pattern Recognition · Computer Science 2020-07-30 Xiaoyu Zhang , Ajmal Mian , Rohit Gupta , Nazanin Rahnavard , Mubarak Shah

Copyright detection is an effective method to prevent piracy. However, untrustworthy detection parties may lead to falsified detection results. Due to its credibility and tamper resistance, blockchain has been applied to copyright…

Cryptography and Security · Computer Science 2022-08-25 Zhili Chen , Yuting Wang , Tianjiao Ni

Mobile devices are in roles where the integrity and confidentiality of their apps and data are of paramount importance. They usually contain a System-on-Chip (SoC), which integrates microprocessors and peripheral Intellectual Property (IP)…

Cryptography and Security · Computer Science 2017-01-18 Michael LeMay , Carl A. Gunter

CAPTCHA (Completely Automated Public Truing test to tell Computers and Humans Apart) is a widely used technology to distinguish real users and automated users such as bots. However, the advance of AI technologies weakens many CAPTCHA tests…

Machine Learning · Computer Science 2021-01-08 Rulin Shao , Zhouxing Shi , Jinfeng Yi , Pin-Yu Chen , Cho-Jui Hsieh

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

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,…

Cryptography and Security · Computer Science 2017-10-31 Vasilios Mavroudis , Andrea Cerulli , Petr Svenda , Dan Cvrcek , Dusan Klinec , George Danezis

With the globalization of the semiconductor manufacturing process, electronic devices are powerless against malicious modification of hardware in the supply chain. The ever-increasing threat of hardware Trojan attacks against integrated…

Cryptography and Security · Computer Science 2019-03-13 Kyle Worley , Md Tauhidur Rahman

We target the problem of detecting Trojans or backdoors in DNNs. Such models behave normally with typical inputs but produce specific incorrect predictions for inputs poisoned with a Trojan trigger. Our approach is based on a novel…

Machine Learning · Computer Science 2020-12-07 Karan Sikka , Indranil Sur , Susmit Jha , Anirban Roy , Ajay Divakaran

With the exponential rise in the use of cloud services, smart devices, and IoT devices, advanced cyber attacks have become increasingly sophisticated and ubiquitous. Furthermore, the rapid evolution of computing architectures and memory…

Cryptography and Security · Computer Science 2025-01-09 Jyotiprakash Mishra , Sanjay K. Sahay

Insertion of hardware Trojans (HTs) in integrated circuits is a pernicious threat. Since HTs are activated under rare trigger conditions, detecting them using random logic simulations is infeasible. In this work, we design a reinforcement…

Machine Learning · Computer Science 2022-08-30 Vasudev Gohil , Satwik Patnaik , Hao Guo , Dileep Kalathil , Jeyavijayan , Rajendran

In the last decade, the use of Machine Learning techniques in anomaly-based intrusion detection systems has seen much success. However, recent studies have shown that Machine learning in general and deep learning specifically are vulnerable…

Cryptography and Security · Computer Science 2023-03-14 Islam Debicha , Thibault Debatty , Jean-Michel Dricot , Wim Mees , Tayeb Kenaza

Computer network is unpredictable due to information warfare and is prone to various attacks. Such attacks on network compromise the most important attribute, the privacy. Most of such attacks are devised using special communication channel…

Cryptography and Security · Computer Science 2011-01-04 Anjan K , Jibi Abraham , Mamatha Jadhav

Since hardware oftentimes serves as the root of trust in our modern interconnected world, malicious hardware manipulations constitute a ubiquitous threat in the context of the Internet of Things (IoT). Hardware reverse engineering is a…

Cryptography and Security · Computer Science 2019-10-02 Sebastian Wallat , Nils Albartus , Steffen Becker , Max Hoffmann , Maik Ender , Marc Fyrbiak , Adrian Drees , Sebastian Maaßen , Christof Paar

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

We present a novel methodology for neural network backdoor attacks. Unlike existing training-time attacks where the Trojaned network would respond to the Trojan trigger after training, our approach inserts a Trojan that will remain dormant…

Cryptography and Security · Computer Science 2022-11-04 Feisi Fu , Panagiota Kiourti , Wenchao Li

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

Approximate circuits often achieve exceptional trade-offs between computational accuracy and hardware efficiency, making them attractive for deployment as reusable Intellectual Property (IP) cores. However, safeguarding such circuits…

Hardware Architecture · Computer Science 2026-05-12 Lukas Sekanina , Vojtech Mrazek

Using the computational resources of an untrusted third party to crack a password hash can pose a high number of privacy and security risks. The act of revealing the hash digest could in itself negatively impact both the data subject who…

Cryptography and Security · Computer Science 2023-06-16 Norbert Tihanyi , Tamas Bisztray , Bertalan Borsos , Sebastien Raveau