Core tunneling: Variation-aware voltage noise mitigation in GPUs. - Renji Thomas; Kristin Barber; Naser Sedaghati; Li Zhou 012; Radu Teodorescu (HPCA, 2016)

SpecShield: Shielding Speculative Data from Microarchitectural Covert Channels. - Kristin Barber; Anys Bacha; Li Zhou 012; Yinqian Zhang; Radu Teodorescu (PACT, 2019)

Isolating Speculative Data to Prevent Transient Execution Attacks. - Kristin Barber; Anys Bacha; Li Zhou 012; Yinqian Zhang; Radu Teodorescu (IEEE Comput. Archit. Lett., 2019)

Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks. - Saikat Majumdar; Mohammad Hossein Samavatian; Kristin Barber; Radu Teodorescu (HOST, 2021)

INTROSPECTRE: A Pre-Silicon Framework for Discovery and Analysis of Transient Execution Vulnerabilities. - Moein Ghaniyoun; Kristin Barber; Yinqian Zhang; Radu Teodorescu (ISCA, 2021)

HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks. - Mohammad Hossein Samavatian; Saikat Majumdar; Kristin Barber; Radu Teodorescu (CoRR, 2021)

A Pre-Silicon Approach to Discovering Microarchitectural Vulnerabilities in Security Critical Applications. - Kristin Barber; Moein Ghaniyoun; Yinqian Zhang; Radu Teodorescu (IEEE Comput. Archit. Lett., 2022)

DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning. - Mohammad Hossein Samavatian; Saikat Majumdar; Kristin Barber; Radu Teodorescu (CoRR, 2022)

TEESec: Pre-Silicon Vulnerability Discovery for Trusted Execution Environments. - Moein Ghaniyoun; Kristin Barber; Yuan Xiao 001; Yinqian Zhang; Radu Teodorescu (ISCA, 2023)

MicroSampler: A Framework for Microarchitecture-Level Leakage Detection in Constant Time Execution. - Moein Ghaniyoun; Kristin Barber; Yinqian Zhang; Radu Teodorescu (DSN, 2025)