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Posts
Future Blog Post
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config.yml and set future: false. Get details Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool. Get details
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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Get details projects
Search Engine
In CMU Course Project.Used multi-term matching and Learn To Rank ML techniques to optimize search result relevancy Get details
Doom Bot
In Independent work.Created a deep reinforcement learning bot that used visual input from DOOM. Get details
Cephalometric Landmark Tagging
In Independent work.Wrote and Trained Program to find Cephalometric Landmarks in Lateral X-rays. Automated task done by professionals to diagnose skeletal malformations, using convolutional neural networks. Get details
publications
Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery
R. Gupta, B. Goodman, N. Patel, R. Hosfelt, S. Sajeev, E. Heim, J. Doshi, K. Lucas, H. Choset, M. Gaston. CVPR Workshops '19. [BibTeX]Get details
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
K. Lucas, M. Sharif, L. Bauer, M. K. Reiter, and S. Shintre. AsiaCCS'21. [BibTeX]Get details or download paper
Any-Play: an Intrinsic Augmentation for Zero-Shot Coordination
K. Lucas, R. Allen. AAMAS'22. [BibTeX]Get details or download paper
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
W. Lin, K. Lucas, L. Bauer, M. K. Reiter, M. Sharif. ICML'22. [BibTeX]Get details or download paper
Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems
C. Fung, S. Srinarasi, K. Lucas, H. B. Phee, L. Bauer. ESORICS'22. [BibTeX]Get details or download paper
Adversarial Training for Raw-Binary Malware Classifiers
K. Lucas, S. Pai, W. Lin, L. Bauer, M. K. Reiter, and M. Sharif. USENIX Security '23. [BibTeX]Get details or download paper
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Z. Huang, N. G Marchant, K. Lucas, L. Bauer, O. Ohrimenko, B. IP Rubinstein. NeurIPS '23. [BibTeX]Get details
Group-based Robustness: A General Framework for Customized Robustness in the Real World
W. Lin, K. Lucas, N. Eyal, L. Bauer, M. K. Reiter, and M. Sharif. NDSS '24. To appear. [BibTeX]Get details
Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months
K. Lucas, W. Lin, L. Bauer, M. K. Reiter, and M. Sharif. CCS '24. [BibTeX]Get details or download paper
talks
Workshop Presentation: Adversarial Training with a Surrogate
K. Lucas, A. Jasen, and L. Bauer. In Neurips 2020 NewInML Workshop. [BibTeX]Explored surrogate neural network capability to aid adversarial training for hard to differentiate perturbations Get details
Conference Presentation: Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
K. Lucas, M. Sharif, L. Bauer, M. K. Reiter, and S. Shintre. AsiaCCS'21. [BibTeX]Get details or download paper
Conference Presentation: Any-Play: an Intrinsic Augmentation for Zero-Shot Coordination
K. Lucas, R. Allen. AAMAS '22. [BibTeX]Get details or download paper
Conference Presentation: Adversarial Training for Raw-Binary Malware Classifiers
K. Lucas, S. Pai, W. Lin, L. Bauer, M. K. Reiter, and M. Sharif. USENIX Security '23. [BibTeX]Get details or download paper
teaching
Teaching experience 1
In University 1, Department.This is a description of a teaching experience. You can use markdown like any other post. Get details
Teaching experience 2
In University 1, Department.This is a description of a teaching experience. You can use markdown like any other post. Get details