Zobrazeno 1 - 10
of 16 135
pro vyhledávání: '"P JAMIESON"'
Existing Hardware Trojans (HT) detection methods face several critical limitations: logic testing struggles with scalability and coverage for large designs, side-channel analysis requires golden reference chips, and formal verification methods suffer
Externí odkaz:
http://arxiv.org/abs/2412.07636
Traditionally, inserting realistic Hardware Trojans (HTs) into complex hardware systems has been a time-consuming and manual process, requiring comprehensive knowledge of the design and navigating intricate Hardware Description Language (HDL) codebas
Externí odkaz:
http://arxiv.org/abs/2412.02816
Autor:
Wagenmaker, Andrew, Mi, Lu, Rozsa, Marton, Bull, Matthew S., Svoboda, Karel, Daie, Kayvon, Golub, Matthew D., Jamieson, Kevin
Recent advances in techniques for monitoring and perturbing neural populations have greatly enhanced our ability to study circuits in the brain. In particular, two-photon holographic optogenetics now enables precise photostimulation of experimenter-s
Externí odkaz:
http://arxiv.org/abs/2412.02529
Autor:
Jamieson, Nathan, Smith, Aaron, Neyer, Meredith, Kannan, Rahul, Garaldi, Enrico, Vogelsberger, Mark, Hernquist, Lars, Zier, Oliver, Shen, Xuejian, Kakiichi, Koki
The growth of ionized hydrogen bubbles in the intergalactic medium around early luminous objects is a fundamental process during the Epoch of Reionization (EoR). In this study, we analyze bubble sizes and their evolution using the state-of-the-art TH
Externí odkaz:
http://arxiv.org/abs/2411.08943
The realization of a quantum computer represents a tremendous scientific and technological challenge due to the extreme fragility of quantum information. The physical support of information, namely the quantum bit or qubit, must at the same time be s
Externí odkaz:
http://arxiv.org/abs/2411.02852
Recent advances in large language model (LLM) training have highlighted the need for diverse, high-quality instruction data. Recently, many works are exploring synthetic data generation using LLMs. However, they primarily focus on prompt engineering
Externí odkaz:
http://arxiv.org/abs/2410.20362
Autor:
Wagenmaker, Andrew, Huang, Kevin, Ke, Liyiming, Boots, Byron, Jamieson, Kevin, Gupta, Abhishek
In order to mitigate the sample complexity of real-world reinforcement learning, common practice is to first train a policy in a simulator where samples are cheap, and then deploy this policy in the real world, with the hope that it generalizes effec
Externí odkaz:
http://arxiv.org/abs/2410.20254
This work focuses on advancing security research in the hardware design space by formally defining the realistic problem of Hardware Trojan (HT) detection. The goal is to model HT detection more closely to the real world, i.e., describing the problem
Externí odkaz:
http://arxiv.org/abs/2410.15550
The Effective Field Theory of Large Scale Structure (EFTofLSS) has found tremendous success as a perturbative framework for the evolution of large scale structure, and it is now routinely used to compare theoretical predictions against cosmological o
Externí odkaz:
http://arxiv.org/abs/2410.11949
Autor:
Shakur, Ameer Hamza, Holcomb, Michael J., Hein, David, Kang, Shinyoung, Dalton, Thomas O., Campbell, Krystle K., Scott, Daniel J., Jamieson, Andrew R.
Grading Objective Structured Clinical Examinations (OSCEs) is a time-consuming and expensive process, traditionally requiring extensive manual effort from human experts. In this study, we explore the potential of Large Language Models (LLMs) to asses
Externí odkaz:
http://arxiv.org/abs/2410.12858