Kevin Leach

111 papers A* 12A 17B 5Misc 1Journal 47Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Building Confidential Accelerator Computing Environment for Arm CCA.
IEEE Trans. Dependable Secur. Comput.
Chenxu Wang, Kun Lu, Fengwei Zhang, Yunjie Deng, Kevin Leach, Jiannong Cao, Zhenyu Ning, Shoumeng Yan, Tao Wei, Zhengyu He
2026 J jnl
ComCat: Expertise-Guided Context Generation to Enhance Code Comprehension.
ACM Trans. Softw. Eng. Methodol.
Skyler Grandel, Scott Thomas Andersen, Yu Huang, Kevin Leach
2026 J jnl
Do Hackers Dream of Electric Teachers?: A Large-Scale, In-Situ Evaluation of Cybersecurity Student Behaviors and Performance with AI Tutors.
CoRR
Michael Tompkins, Nihaarika Agarwal, Ananta Soneji, Robert Wasinger, Connor Nelson, Kevin Leach, Rakibul Hasan, Adam Doupé, Daniel Votipka, Yan Shoshitaishvili, Jaron Mink
2026 J jnl
EyeLayer: Integrating Human Attention Patterns into LLM-Based Code Summarization.
CoRR
Jiahao Zhang, Yifan Zhang, Kevin Leach, Yu Huang
2025 — conf
A Brief Introduction to Cybersecurity, Robotics, and Computer Science in Middle Schools.
CompEd (2)
Saman Rengber Kittani, Stephanie Zeiger, Gordon Stein, Corey E. Brady, Shuchi Grover, Kevin Leach, Ákos Lédeczi
2025 A conf
A Human Study of Automatically Generated Decompiler Annotations.
DSN
Yuwei Yang, Skyler Grandel, Jeremy Lacomis, Edward J. Schwartz, Bogdan Vasilescu, Claire Le Goues, Kevin Leach
2025 J jnl
A Human Study of Cognitive Biases in Web Application Security.
CoRR
Yuwei Yang, Skyler Grandel, Daniel Balasubramanian, Yu Huang, Kevin Leach
2025 — conf
Applying Large Language Models to Enhance the Assessment of Java Programming Assignments.
SIGSOFT FSE Companion
Skyler Grandel, Douglas C. Schmidt, Kevin Leach
2025 A* conf
CodeACT-R: A Cognitive Simulation Framework for Human Attention in Code Reading.
ASE
Yueke Zhang, Zihan Fang, Greg Trafton, Daniel Levin, Kevin Leach, Yu Huang
2025 J jnl
CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement.
CoRR
Yueke Zhang, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
Context-Guided Decompilation: A Step Towards Re-executability.
CoRR
Xiaohan Wang, Yuxin Hu, Kevin Leach
2025 J jnl
DPO-F+: Aligning Code Repair Feedback with Developers' Preferences.
CoRR
Zihan Fang, Yifan Zhang, Yueke Zhang, Kevin Leach, Yu Huang
2025 B conf
Document Classification using File Names.
DocEng
Zhijian Li, Stefan Larson, Kevin Leach
2025 — conf
Enhancing Code LLM Training with Programmer Attention.
SIGSOFT FSE Companion
Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang
2025 J jnl
Enhancing Code LLM Training with Programmer Attention.
CoRR
Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang
2025 J jnl
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2025 — conf
Leveraging Human Insights for Enhanced LLM-based Code Repair.
SIGSOFT FSE Companion
Yifan Zhang, Kevin Leach
2025 A conf
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
EuroS&P
Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach
2025 A conf
Optimizing Code Runtime Performance Through Context-Aware Retrieval-Augmented Generation.
ICPC
Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation.
CoRR
Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang
2025 A conf
PARDON: Privacy-Aware and Robust Federated Domain Generalization.
ICDCS
Dung Thuy Nguyen, Taylor T. Johnson, Kevin Leach
2025 A* conf
PBP: Post-training Backdoor Purification for Malware Classifiers.
NDSS
Dung Thuy Nguyen, Ngoc N. Tran, Taylor T. Johnson, Kevin Leach
2025 J jnl
Pre-Training Representations of Binary Code Using Contrastive Learning.
Trans. Mach. Learn. Res.
Yifan Zhang, Chen Huang, Yueke Zhang, Huajie Shao, Kevin Leach, Yu Huang
2025 — conf
Robust Testing for Deep Learning using Human Label Noise.
DeepTest
Gordon Lim, Stefan Larson, Kevin Leach
2025 J jnl
SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities.
CoRR
Dung Thuy Nguyen, Quang Nguyen, Preston K. Robinette, Eli Jiang, Taylor T. Johnson, Kevin Leach
2025 B conf
Spurious Cues in RVL-CDIP and Tobacco3482 Document Classification: The Case of ID Codes.
DocEng
Stefan Larson, Sharad Duwal, Brian Vilnrotter, Gayatri Chakkithara, Vedant Padwal, Kevin Leach
2025 — conf
Towards a LLM-Based System for Generating and Validating Product Requirements.
SIGSOFT FSE Companion
Evan Krueger, Taylor J. Carpenter, Kevin Leach, James Weimer
2025 — conf
Training Large Language Models to Comprehend LLVM IR via Feedback-Driven Optimization.
SIGSOFT FSE Companion
Yifan Zhang, Kevin Leach
2025 A* conf
Who's Pushing the Code? An Exploration of GitHub Impersonation.
ICSE
Yueke Zhang, Anda Liang, Xiaohan Wang, Pamela J. Wisniewski, Fengwei Zhang, Kevin Leach, Yu Huang
2024 — conf
Applying Large Language Models to Enhance the Assessment of Parallel Functional Programming Assignments.
LLM4CODE@ICSE
Skyler Grandel, Douglas C. Schmidt, Kevin Leach
2024 A* conf
Breaking the Flow: A Study of Interruptions During Software Engineering Activities.
ICSE
Yimeng Ma, Yu Huang, Kevin Leach
2024 J jnl
Building a Lightweight Trusted Execution Environment for Arm GPUs.
IEEE Trans. Dependable Secur. Comput.
Chenxu Wang, Yunjie Deng, Zhenyu Ning, Kevin Leach, Jin Li, Shoumeng Yan, Zhengyu He, Jiannong Cao, Fengwei Zhang
2024 A* conf
CAGE: Complementing Arm CCA with GPU Extensions.
NDSS
Chenxu Wang, Fengwei Zhang, Yunjie Deng, Kevin Leach, Jiannong Cao, Zhenyu Ning, Shoumeng Yan, Zhengyu He
2024 J jnl
COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization.
CoRR
Skyler Grandel, Scott Thomas Andersen, Yu Huang, Kevin Leach
2024 — conf
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets.
FormaliSE@ICSE
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
2024 J jnl
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets.
CoRR
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
2024 A conf
ChatGPT Giving Relationship Advice - How Reliable Is It?
ICWSM
Haonan Hou, Kevin Leach, Yu Huang
2024 A* conf
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP.
EMNLP
Stefan Larson, Nicole Lima, Santiago Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Suleiman, Yash Mathur, Kaushal Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach
2024 A conf
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
ICPC
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
CoRR
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Document Type Classification using File Names.
CoRR
Zhijian Li, Stefan Larson, Kevin Leach
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
CoRR
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
Proc. ACM Softw. Eng.
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
FISC: Federated Domain Generalization via Interpolative Style Transfer and Contrastive Learning.
CoRR
Dung Thuy Nguyen, Taylor T. Johnson, Kevin Leach
2024 J jnl
Formal Logic-guided Robust Federated Learning against Poisoning Attacks.
CoRR
Dung Thuy Nguyen, Ziyan An, Taylor T. Johnson, Meiyi Ma, Kevin Leach
2024 — conf
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification.
LREC/COLING
Zhijian Li, Stefan Larson, Kevin Leach
2024 J jnl
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification.
CoRR
Zhijian Li, Stefan Larson, Kevin Leach
2024 — conf
Genetic Improvement for DNN Security.
GI@ICSE
Hunter Baxter, Yu Huang, Kevin Leach
2024 J jnl
Hardware-Assisted Live Kernel Function Updating on Intel Platforms.
IEEE Trans. Dependable Secur. Comput.
Lei Zhou, Fengwei Zhang, Kevin Leach, Xuhua Ding, Zhenyu Ning, Guojun Wang, Jidong Xiao
2024 J jnl
Label Errors in the Tobacco3482 Dataset.
CoRR
Gordon Lim, Stefan Larson, Kevin Leach
2024 J jnl
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
CoRR
Eric Li, Yifan Zhang, Yu Huang, Kevin Leach
2024 J jnl
PBP: Post-training Backdoor Purification for Malware Classifiers.
CoRR
Dung Thuy Nguyen, Ngoc N. Tran, Taylor T. Johnson, Kevin Leach
2024 J jnl
Reducing Malware Analysis Overhead With Coverings.
IEEE Trans. Dependable Secur. Comput.
Michael Sandborn, Zach Stoebner, Westley Weimer, Stephanie Forrest, Ryan E. Dougherty, Jules White, Kevin Leach
2024 J jnl
Robust Testing for Deep Learning using Human Label Noise.
CoRR
Gordon Lim, Stefan Larson, Kevin Leach
2024 — conf
Sensor Data Transplantation for Redundant Hardware Switchover in Micro Autonomous Vehicles.
ICCPS
Cailani Lemieux Mack, Kevin Leach, Kevin Angstadt
2024 J jnl
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification.
CoRR
Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach
2023 — conf
A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention.
ESEC/SIGSOFT FSE
Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang
2023 A conf
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study.
ESEM
Yueke Zhang, Kevin Leach, Yu Huang
2023 J jnl
On Evaluation of Document Classification using RVL-CDIP.
CoRR
Stefan Larson, Gordon Lim, Kevin Leach
2023 A conf
On Evaluation of Document Classifiers using RVL-CDIP.
EACL
Stefan Larson, Gordon Lim, Kevin Leach
2023 A conf
Revisiting Deep Learning for Variable Type Recovery.
ICPC
Kevin Cao, Kevin Leach
2023 J jnl
Revisiting Deep Learning for Variable Type Recovery.
CoRR
Kevin Cao, Kevin Leach
2023 A conf
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries.
ICPC
Jason Kim, Daniel Genkin, Kevin Leach
2023 J jnl
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries.
CoRR
Jason Kim, Daniel Genkin, Kevin Leach
2022 J jnl
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog.
CoRR
Stefan Larson, Kevin Leach
2022 J jnl
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.
CoRR
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang
2022 J jnl
Augmenting Task-Oriented Dialogue Systems with Relation Extraction.
CoRR
Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld
2022 J jnl
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang
2022 A* conf
Evaluating Out-of-Distribution Performance on Document Image Classifiers.
NeurIPS
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
2022 J jnl
Evaluating Out-of-Distribution Performance on Document Image Classifiers.
CoRR
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
2022 — conf
One Agent To Rule Them All: Towards Multi-agent Conversational AI.
ACL (Findings)
Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
2022 J jnl
One Agent To Rule Them All: Towards Multi-agent Conversational AI.
CoRR
Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
2022 B conf
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset.
SIGDIAL
Stefan Larson, Kevin Leach
2022 J jnl
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset.
CoRR
Stefan Larson, Kevin Leach
2022 A conf
START: A Framework for Trusted and Resilient Autonomous Vehicles (Practical Experience Report).
ISSRE
Kevin Leach, Christopher Steven Timperley, Kevin Angstadt, Anh Nguyen-Tuong, Jason Hiser, Aaron Paulos, Partha P. Pal, Patrick Hurley, Carl Thomas, Jack W. Davidson, Stephanie Forrest, Claire Le Goues, Westley Weimer
2022 A* conf
StrongBox: A GPU TEE on Arm Endpoints.
CCS
Yunjie Deng, Chenxu Wang, Shunchang Yu, Shiqing Liu, Zhenyu Ning, Kevin Leach, Jin Li, Shoumeng Yan, Zhengyu He, Jiannong Cao, Fengwei Zhang
2021 J jnl
A Coprocessor-Based Introspection Framework Via Intel Management Engine.
IEEE Trans. Dependable Secur. Comput.
Lei Zhou, Fengwei Zhang, Jidong Xiao, Kevin Leach, Westley Weimer, Xuhua Ding, Guojun Wang
2021 J jnl
MIMOSA: Reducing Malware Analysis Overhead with Coverings.
CoRR
Mohsen Ahmadi, Kevin Leach, Ryan E. Dougherty, Stephanie Forrest, Westley Weimer
2021 J jnl
Toward an Objective Measure of Developers' Cognitive Activities.
ACM Trans. Softw. Eng. Methodol.
Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer
2020 A conf
A Human Study of Comprehension and Code Summarization.
ICPC
Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang
2020 — conf
Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines.
ESEC/SIGSOFT FSE
Yu Huang, Kevin Leach, Zohreh Sharafi, Nicholas McKay, Tyler Santander, Westley Weimer
2020 B conf
Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data.
LREC
Stefan Larson, Eric Guldan, Kevin Leach
2020 B conf
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods.
COLING
Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld
2020 — conf
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness.
EMNLP (1)
Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld
2020 A conf
KShot: Live Kernel Patching with SMM and SGX.
DSN
Lei Zhou, Fengwei Zhang, Jinghui Liao, Zhenyu Ning, Jidong Xiao, Kevin Leach, Westley Weimer, Guojun Wang
2020 — conf
MARTINI: Memory Access Traces to Detect Attacks.
CCSW
Yujun Qin, Samuel Gonzalez, Kevin Angstadt, Xiaowei Wang, Stephanie Forrest, Reetuparna Das, Kevin Leach, Westley Weimer
2020 A* conf
Neurological divide: an fMRI study of prose and code writing.
ICSE
Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach
2020 — conf
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair.
ICSE (Workshops)
Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer
2020 — conf
TRUST.IO: Protecting Physical Interfaces on Cyber-physical Systems.
CNS
Chad Spensky, Aravind Machiry, Marcel Busch, Kevin Leach, Rick Housley, Christopher Kruegel, Giovanni Vigna
2019 — conf
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
EMNLP/IJCNLP (1)
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2019 J jnl
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
CoRR
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2019 A* conf
Distilling neural representations of data structure manipulation using fMRI and fNIRS.
ICSE
Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer
2019 — conf
Evolutionary computation for improving malware analysis.
GI@ICSE
Kevin Leach, Ryan E. Dougherty, Chad Spensky, Stephanie Forrest, Westley Weimer
2019 — conf
Nighthawk: Transparent System Introspection from Ring -3.
ESORICS (2)
Lei Zhou, Jidong Xiao, Kevin Leach, Westley Weimer, Fengwei Zhang, Guojun Wang
2019 — conf
Open Source Vulnerability Notification.
OSS
Brandon Carlson, Kevin Leach, Darko Marinov, Meiyappan Nagappan, Atul Prakash
2019 J jnl
The State and Future of Genetic Improvement.
CoRR
William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An
2019 J jnl
The State and Future of Genetic Improvement.
ACM SIGSOFT Softw. Eng. Notes
William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An
2018 J jnl
Towards Transparent Debugging.
IEEE Trans. Dependable Secur. Comput.
Fengwei Zhang, Kevin Leach, Angelos Stavrou, Haining Wang
2017 — conf
A 4.4 nW lossless sensor data compression accelerator for 2.9x system power reduction in wireless body sensors.
MWSCAS
Jacob Breiholz, Farah B. Yahya, Christopher J. Lukas, Xing Chen, Kevin Leach, David D. Wentzloff, Benton H. Calhoun
2017 A conf
Scotch: Combining Software Guard Extensions and System Management Mode to Monitor Cloud Resource Usage.
RAID
Kevin Leach, Fengwei Zhang, Westley Weimer
2016 — conf
A MapReduce framework to improve template matching uncertainty.
BigComp
Nicholas J. Napoli, Kevin Leach, Laura E. Barnes, Westley Weimer
2016 — conf
An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture.
DSN Workshops
Kate Highnam, Kevin Angstadt, Kevin Leach, Westley Weimer, Aaron Paulos, Patrick Hurley
2016 Misc conf
Assessing social anxiety using gps trajectories and point-of-interest data.
UbiComp
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 A* conf
LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis.
NDSS
Chad Spensky, Hongyi Hu, Kevin Leach
2016 A conf
Towards Transparent Introspection.
SANER
Kevin Leach, Chad Spensky, Westley Weimer, Fengwei Zhang
2015 — conf
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.
IEEE BigData
Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes
2015 A conf
TrustLogin: Securing Password-Login on Commodity Operating Systems.
AsiaCCS
Fengwei Zhang, Kevin Leach, Haining Wang, Angelos Stavrou
2015 A* conf
Using Hardware Features for Increased Debugging Transparency.
IEEE Symposium on Security and Privacy
Fengwei Zhang, Kevin Leach, Angelos Stavrou, Haining Wang, Kun Sun
2014 — conf
A Framework to Secure Peripherals at Runtime.
ESORICS (1)
Fengwei Zhang, Haining Wang, Kevin Leach, Angelos Stavrou
2013 — conf
BARLEY: Modelling program behavior with resource usage.
DSN Workshops
Kevin Leach
2013 A conf
SPECTRE: A dependable introspection framework via System Management Mode.
DSN
Fengwei Zhang, Kevin Leach, Kun Sun, Angelos Stavrou