Kevin Leach

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 63

Top Topics

Early Detection

Autonomous Vehicles

Practical Experience

Top Venues

IEEE Trans. Dependable Secur. Comput.

Publications

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. CoRR (2024)
Cailani Lemieux Mack, Kevin Leach, Kevin Angstadt
Sensor Data Transplantation for Redundant Hardware Switchover in Micro Autonomous Vehicles. ICCPS (2024)
Haonan Hou, Kevin Leach, Yu Huang
ChatGPT Giving Relationship Advice - How Reliable Is It? ICWSM (2024)
Lei Zhou, Fengwei Zhang, Kevin Leach, Xuhua Ding, Zhenyu Ning, Guojun Wang, Jidong Xiao
Hardware-Assisted Live Kernel Function Updating on Intel Platforms. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Zhijian Li, Stefan Larson, Kevin Leach
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. CoRR (2024)
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets. CoRR (2024)
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. CoRR (2024)
Yimeng Ma, Yu Huang, Kevin Leach
Breaking the Flow: A Study of Interruptions During Software Engineering Activities. ICSE (2024)
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets. FormaliSE@ICSE (2024)
Skyler Grandel, Scott Thomas Andersen, Yu Huang, Kevin Leach
COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization. CoRR (2024)
Zhijian Li, Stefan Larson, Kevin Leach
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. LREC/COLING (2024)
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. ICPC (2024)
Kevin Cao, Kevin Leach
Revisiting Deep Learning for Variable Type Recovery. ICPC (2023)
Jason Kim, Daniel Genkin, Kevin Leach
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries. ICPC (2023)
Kevin Cao, Kevin Leach
Revisiting Deep Learning for Variable Type Recovery. CoRR (2023)
Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang
A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention. ESEC/SIGSOFT FSE (2023)
Jason Kim, Daniel Genkin, Kevin Leach
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries. CoRR (2023)
Stefan Larson, Gordon Lim, Kevin Leach
On Evaluation of Document Classifiers using RVL-CDIP. EACL (2023)
Yueke Zhang, Kevin Leach, Yu Huang
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study. ESEM (2023)
Stefan Larson, Gordon Lim, Kevin Leach
On Evaluation of Document Classification using RVL-CDIP. CoRR (2023)
Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld
Augmenting Task-Oriented Dialogue Systems with Relation Extraction. CoRR (2022)
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
START: A Framework for Trusted and Resilient Autonomous Vehicles (Practical Experience Report). ISSRE (2022)
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
Evaluating Out-of-Distribution Performance on Document Image Classifiers. CoRR (2022)
Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
One Agent To Rule Them All: Towards Multi-agent Conversational AI. CoRR (2022)
Stefan Larson, Kevin Leach
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog. CoRR (2022)
Stefan Larson, Kevin Leach
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. CoRR (2022)
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. CoRR (2022)
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
Evaluating Out-of-Distribution Performance on Document Image Classifiers. NeurIPS (2022)
Yunjie Deng, Chenxu Wang, Shunchang Yu, Shiqing Liu, Zhenyu Ning, Kevin Leach, Jin Li, Shoumeng Yan, Zhengyu He, Jiannong Cao, Fengwei Zhang
StrongBox: A GPU TEE on Arm Endpoints. CCS (2022)
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning. CoRR (2022)
Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
One Agent To Rule Them All: Towards Multi-agent Conversational AI. ACL (Findings) (2022)
Stefan Larson, Kevin Leach
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. SIGDIAL (2022)
Mohsen Ahmadi, Kevin Leach, Ryan E. Dougherty, Stephanie Forrest, Westley Weimer
MIMOSA: Reducing Malware Analysis Overhead with Coverings. CoRR (2021)
Lei Zhou, Fengwei Zhang, Jidong Xiao, Kevin Leach, Westley Weimer, Xuhua Ding, Guojun Wang
A Coprocessor-Based Introspection Framework Via Intel Management Engine. IEEE Trans. Dependable Secur. Comput. 18 (4) (2021)
Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer
Toward an Objective Measure of Developers' Cognitive Activities. ACM Trans. Softw. Eng. Methodol. 30 (3) (2021)
Yu Huang, Kevin Leach, Zohreh Sharafi, Nicholas McKay, Tyler Santander, Westley Weimer
Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines. ESEC/SIGSOFT FSE (2020)
Yujun Qin, Samuel Gonzalez, Kevin Angstadt, Xiaowei Wang, Stephanie Forrest, Reetuparna Das, Kevin Leach, Westley Weimer
MARTINI: Memory Access Traces to Detect Attacks. CCSW@CCS (2020)
Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang
A Human Study of Comprehension and Code Summarization. ICPC (2020)
Stefan Larson, Eric Guldan, Kevin Leach
Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data. LREC (2020)
Chad Spensky, Aravind Machiry, Marcel Busch, Kevin Leach, Rick Housley, Christopher Kruegel, Giovanni Vigna
TRUST.IO: Protecting Physical Interfaces on Cyber-physical Systems. CNS (2020)
Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness. EMNLP (1) (2020)
Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach
Neurological divide: an fMRI study of prose and code writing. ICSE (2020)
Lei Zhou, Fengwei Zhang, Jinghui Liao, Zhenyu Ning, Jidong Xiao, Kevin Leach, Westley Weimer, Guojun Wang
KShot: Live Kernel Patching with SMM and SGX. DSN (2020)
Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair. ICSE (Workshops) (2020)
Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods. COLING (2020)
Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer
Distilling neural representations of data structure manipulation using fMRI and fNIRS. ICSE (2019)
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
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) (2019)
Lei Zhou, Jidong Xiao, Kevin Leach, Westley Weimer, Fengwei Zhang, Guojun Wang
Nighthawk: Transparent System Introspection from Ring -3. ESORICS (2) (2019)
Brandon Carlson, Kevin Leach, Darko Marinov, Meiyappan Nagappan, Atul Prakash
Open Source Vulnerability Notification. OSS (2019)
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
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR (2019)
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
The State and Future of Genetic Improvement. CoRR (2019)
Kevin Leach, Ryan E. Dougherty, Chad Spensky, Stephanie Forrest, Westley Weimer
Evolutionary computation for improving malware analysis. GI@ICSE (2019)
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
The State and Future of Genetic Improvement. ACM SIGSOFT Softw. Eng. Notes 44 (3) (2019)
Fengwei Zhang, Kevin Leach, Angelos Stavrou, Haining Wang
Towards Transparent Debugging. IEEE Trans. Dependable Secur. Comput. 15 (2) (2018)
Jacob Breiholz, Farah B. Yahya, Christopher J. Lukas, Xing Chen, Kevin Leach, David D. Wentzloff, Benton H. Calhoun
A 4.4 nW lossless sensor data compression accelerator for 2.9x system power reduction in wireless body sensors. MWSCAS (2017)
Kevin Leach, Fengwei Zhang, Westley Weimer
Scotch: Combining Software Guard Extensions and System Management Mode to Monitor Cloud Resource Usage. RAID (2017)
Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes
: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders. ACM Trans. Intell. Syst. Technol. 8 (3) (2017)
Chad Spensky, Hongyi Hu, Kevin Leach
LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis. NDSS (2016)
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
Assessing social anxiety using gps trajectories and point-of-interest data. UbiComp (2016)
Kate Highnam, Kevin Angstadt, Kevin Leach, Westley Weimer, Aaron Paulos, Patrick Hurley
An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture. DSN Workshops (2016)
Kevin Leach, Chad Spensky, Westley Weimer, Fengwei Zhang
Towards Transparent Introspection. SANER (2016)
Nicholas J. Napoli, Kevin Leach, Laura E. Barnes, Westley Weimer
A MapReduce framework to improve template matching uncertainty. BigComp (2016)
Fengwei Zhang, Kevin Leach, Angelos Stavrou, Haining Wang, Kun Sun
Using Hardware Features for Increased Debugging Transparency. IEEE Symposium on Security and Privacy (2015)
Fengwei Zhang, Kevin Leach, Haining Wang, Angelos Stavrou
TrustLogin: Securing Password-Login on Commodity Operating Systems. AsiaCCS (2015)
Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. IEEE BigData (2015)
Fengwei Zhang, Haining Wang, Kevin Leach, Angelos Stavrou
A Framework to Secure Peripherals at Runtime. ESORICS (1) (2014)
Fengwei Zhang, Kevin Leach, Kun Sun, Angelos Stavrou
SPECTRE: A dependable introspection framework via System Management Mode. DSN (2013)
Kevin Leach
BARLEY: Modelling program behavior with resource usage. DSN Workshops (2013)