| 2026 | SP | Incalmo: an Autonomous Llm-Assisted System for Red Teaming Multi-Host Networks. | Brian Singer, Keane Lucas, Lakshmi Adiga, Meghna Jain, Lujo Bauer, Vyas Sekar |
| 2024 | CCS | Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months. | Keane Lucas, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif |
| 2024 | DIMVA | Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity. | Suguru Horimoto, Keane Lucas, Lujo Bauer |
| 2024 | NDSS | Group-based Robustness: A General Framework for Customized Robustness in the Real World. | Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif |
| 2022 | ESORICS | Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems. | Clement Fung, Shreya Srinarasi, Keane Lucas, Hay Bryan Phee, Lujo Bauer |
| 2022 | ICML | Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. | Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif |
| 2021 | AsiaCCS | Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes. | Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre |
| 2019 | CVPR | Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery. | Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston |