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2020 – today
- 2025
[c49]Dung Thuy Nguyen, Ngoc N. Tran, Taylor T. Johnson, Kevin Leach:
PBP: Post-training Backdoor Purification for Malware Classifiers. NDSS 2025- [i27]Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang:
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation. CoRR abs/2501.16692 (2025) - 2024
- [j9]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): 115-136 (2024) - [j8]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): 2085-2098 (2024) - [j7]Chenxu Wang, Yunjie Deng, Zhenyu Ning, Kevin Leach, Jin Li, Shoumeng Yan, Zhengyu He, Jiannong Cao, Fengwei Zhang:
Building a Lightweight Trusted Execution Environment for Arm GPUs. IEEE Trans. Dependable Secur. Comput. 21(4): 3801-3816 (2024) - [j6]Michael Sandborn, Zach Stoebner, Westley Weimer, Stephanie Forrest, Ryan E. Dougherty, Jules White, Kevin Leach:
Reducing Malware Analysis Overhead With Coverings. IEEE Trans. Dependable Secur. Comput. 21(4): 4133-4146 (2024) - [c48]Zhijian Li, Stefan Larson, Kevin Leach:
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. LREC/COLING 2024: 7634-7646 - [c47]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:
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP. EMNLP 2024: 21494-21505 - [c46]Hunter Baxter, Yu Huang, Kevin Leach:
Genetic Improvement for DNN Security. GI@ICSE 2024: 11-12 - [c45]Cailani Lemieux Mack, Kevin Leach, Kevin Angstadt:
Sensor Data Transplantation for Redundant Hardware Switchover in Micro Autonomous Vehicles. ICCPS 2024: 135-146 - [c44]Yimeng Ma, Yu Huang, Kevin Leach:
Breaking the Flow: A Study of Interruptions During Software Engineering Activities. ICSE 2024: 185:1-185:12 - [c43]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: 127-137 - [c42]Haonan Hou, Kevin Leach, Yu Huang:
ChatGPT Giving Relationship Advice - How Reliable Is It? ICWSM 2024: 610-623 - [c41]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: 47-51 - [c40]Skyler Grandel, Douglas C. Schmidt, Kevin Leach:
Applying Large Language Models to Enhance the Assessment of Parallel Functional Programming Assignments. LLM4CODE@ICSE 2024: 102-110 - [c39]Chenxu Wang, Fengwei Zhang, Yunjie Deng, Kevin Leach, Jiannong Cao, Zhenyu Ning, Shoumeng Yan, Zhengyu He:
CAGE: Complementing Arm CCA with GPU Extensions. NDSS 2024 - [i26]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 abs/2402.14096 (2024) - [i25]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 abs/2402.14182 (2024) - [i24]Zhijian Li, Stefan Larson, Kevin Leach:
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. CoRR abs/2403.05640 (2024) - [i23]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 abs/2404.05703 (2024) - [i22]Skyler Grandel, Scott Thomas Andersen, Yu Huang, Kevin Leach:
COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization. CoRR abs/2407.13648 (2024) - [i21]Eric Li, Yifan Zhang, Yu Huang, Kevin Leach:
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning. CoRR abs/2409.13213 (2024) - [i20]Zhijian Li, Stefan Larson, Kevin Leach:
Document Type Classification using File Names. CoRR abs/2410.01166 (2024) - [i19]Dung Thuy Nguyen, Taylor T. Johnson, Kevin Leach:
FISC: Federated Domain Generalization via Interpolative Style Transfer and Contrastive Learning. CoRR abs/2410.22622 (2024) - [i18]Dung Thuy Nguyen, Ziyan An, Taylor T. Johnson, Meiyi Ma, Kevin Leach:
Formal Logic-guided Robust Federated Learning against Poisoning Attacks. CoRR abs/2411.03231 (2024) - [i17]Gordon Lim, Stefan Larson, Kevin Leach:
Robust Testing for Deep Learning using Human Label Noise. CoRR abs/2412.00244 (2024) - [i16]Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach:
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification. CoRR abs/2412.00260 (2024) - [i15]Dung Thuy Nguyen, Ngoc N. Tran, Taylor T. Johnson, Kevin Leach:
PBP: Post-training Backdoor Purification for Malware Classifiers. CoRR abs/2412.03441 (2024) - [i14]Gordon Lim, Stefan Larson, Kevin Leach:
Label Errors in the Tobacco3482 Dataset. CoRR abs/2412.13140 (2024) - 2023
- [c38]Stefan Larson, Gordon Lim, Kevin Leach:
On Evaluation of Document Classifiers using RVL-CDIP. EACL 2023: 2657-2670 - [c37]Yueke Zhang, Kevin Leach, Yu Huang:
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study. ESEM 2023: 1-12 - [c36]Kevin Cao, Kevin Leach:
Revisiting Deep Learning for Variable Type Recovery. ICPC 2023: 275-279 - [c35]Jason Kim, Daniel Genkin, Kevin Leach:
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries. ICPC 2023: 292-303 - [c34]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: 3-15 - [i13]Kevin Cao, Kevin Leach:
Revisiting Deep Learning for Variable Type Recovery. CoRR abs/2304.03854 (2023) - [i12]Jason Kim, Daniel Genkin, Kevin Leach:
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries. CoRR abs/2305.03934 (2023) - [i11]Stefan Larson, Gordon Lim, Kevin Leach:
On Evaluation of Document Classification using RVL-CDIP. CoRR abs/2306.12550 (2023) - 2022
- [c33]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: 3258-3267 - [c32]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: 769-783 - [c31]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: 73-84 - [c30]Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach:
Evaluating Out-of-Distribution Performance on Document Image Classifiers. NeurIPS 2022 - [c29]Stefan Larson, Kevin Leach:
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. SIGDIAL 2022: 468-477 - [i10]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 abs/2203.07665 (2022) - [i9]Stefan Larson, Kevin Leach:
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. CoRR abs/2204.05483 (2022) - [i8]Stefan Larson, Kevin Leach:
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog. CoRR abs/2207.13211 (2022) - [i7]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 abs/2208.08067 (2022) - [i6]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 abs/2210.05102 (2022) - [i5]Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach:
Evaluating Out-of-Distribution Performance on Document Image Classifiers. CoRR abs/2210.07448 (2022) - [i4]Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld:
Augmenting Task-Oriented Dialogue Systems with Relation Extraction. CoRR abs/2210.13344 (2022) - 2021
- [j5]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): 1920-1932 (2021) - [j4]Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer:
Toward an Objective Measure of Developers' Cognitive Activities. ACM Trans. Softw. Eng. Methodol. 30(3): 30:1-30:40 (2021) - [i3]Mohsen Ahmadi, Kevin Leach, Ryan E. Dougherty, Stephanie Forrest, Westley Weimer:
MIMOSA: Reducing Malware Analysis Overhead with Coverings. CoRR abs/2101.07328 (2021) - 2020
- [c28]Yujun Qin, Samuel Gonzalez, Kevin Angstadt, Xiaowei Wang, Stephanie Forrest, Reetuparna Das, Kevin Leach, Westley Weimer:
MARTINI: Memory Access Traces to Detect Attacks. CCSW 2020: 77-90 - [c27]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: 1-9 - [c26]Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld:
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods. COLING 2020: 5035-5046 - [c25]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: 1-13 - [c24]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: 8097-8106 - [c23]Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer:
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair. ICSE (Workshops) 2020: 3-10 - [c22]Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach:
Neurological divide: an fMRI study of prose and code writing. ICSE 2020: 678-690 - [c21]Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang:
A Human Study of Comprehension and Code Summarization. ICPC 2020: 2-13 - [c20]Stefan Larson, Eric Guldan, Kevin Leach:
Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data. LREC 2020: 7060-7068 - [c19]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: 456-468
2010 – 2019
- 2019
- [j3]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): 25-29 (2019) - [c18]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: 1311-1316 - [c17]Lei Zhou, Jidong Xiao, Kevin Leach, Westley Weimer, Fengwei Zhang, Guojun Wang:
Nighthawk: Transparent System Introspection from Ring -3. ESORICS (2) 2019: 217-238 - [c16]Kevin Leach, Ryan E. Dougherty, Chad Spensky, Stephanie Forrest, Westley Weimer:
Evolutionary computation for improving malware analysis. GI@ICSE 2019: 18-19 - [c15]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: 396-407 - [c14]Brandon Carlson, Kevin Leach, Darko Marinov, Meiyappan Nagappan, Atul Prakash:
Open Source Vulnerability Notification. OSS 2019: 12-23 - [i2]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 abs/1907.03773 (2019) - [i1]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 abs/1909.02027 (2019) - 2018
- [j2]Fengwei Zhang, Kevin Leach, Angelos Stavrou, Haining Wang:
Towards Transparent Debugging. IEEE Trans. Dependable Secur. Comput. 15(2): 321-335 (2018) - 2017
- [j1]Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes:
Daehr: 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): 47:1-47:21 (2017) - [c13]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: 1041-1044 - [c12]Kevin Leach, Fengwei Zhang, Westley Weimer:
Scotch: Combining Software Guard Extensions and System Management Mode to Monitor Cloud Resource Usage. RAID 2017: 403-424 - 2016
- [c11]Nicholas J. Napoli, Kevin Leach, Laura E. Barnes, Westley Weimer:
A MapReduce framework to improve template matching uncertainty. BigComp 2016: 77-84 - [c10]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: 222-225 - [c9]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: 898-903 - [c8]Chad Spensky, Hongyi Hu, Kevin Leach:
LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis. NDSS 2016 - [c7]Kevin Leach, Chad Spensky, Westley Weimer, Fengwei Zhang:
Towards Transparent Introspection. SANER 2016: 248-259 - 2015
- [c6]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: 2569-2577 - [c5]Fengwei Zhang, Kevin Leach, Haining Wang, Angelos Stavrou:
TrustLogin: Securing Password-Login on Commodity Operating Systems. AsiaCCS 2015: 333-344 - [c4]Fengwei Zhang, Kevin Leach, Angelos Stavrou, Haining Wang, Kun Sun:
Using Hardware Features for Increased Debugging Transparency. IEEE Symposium on Security and Privacy 2015: 55-69 - 2014
- [c3]Fengwei Zhang, Haining Wang, Kevin Leach, Angelos Stavrou:
A Framework to Secure Peripherals at Runtime. ESORICS (1) 2014: 219-238 - 2013
- [c2]Kevin Leach:
BARLEY: Modelling program behavior with resource usage. DSN Workshops 2013: 1-4 - [c1]Fengwei Zhang, Kevin Leach, Kun Sun, Angelos Stavrou:
SPECTRE: A dependable introspection framework via System Management Mode. DSN 2013: 1-12
Coauthor Index
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