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 (CVPR Workshops, 2019)

Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection. - Mahmood Sharif; Keane Lucas; Lujo Bauer; Michael K. Reiter; Saurabh Shintre (CoRR, 2019)

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes. - Keane Lucas; Mahmood Sharif; Lujo Bauer; Michael K. Reiter; Saurabh Shintre (AsiaCCS, 2021)

Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. - Keane Lucas; Ross E. Allen (AAMAS, 2022)

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 (ESORICS (3), 2022)

Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. - Weiran Lin; Keane Lucas; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (ICML, 2022)

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion. - Zhuoqun Huang; Neil G. Marchant; Keane Lucas; Lujo Bauer; Olga Ohrimenko; Benjamin I. P. Rubinstein (NeurIPS, 2023)

Adversarial Training for Raw-Binary Malware Classifiers. - Keane Lucas; Samruddhi Pai; Weiran Lin; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (USENIX Security Symposium, 2023)

Certified Robustness of Learning-based Static Malware Detectors. - Zhuoqun Huang; Neil G. Marchant; Keane Lucas; Lujo Bauer; Olga Ohrimenko; Benjamin I. P. Rubinstein (CoRR, 2023)

Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators. - Keane Lucas; Matthew Jagielski; Florian Tramèr; Lujo Bauer; Nicholas Carlini (CoRR, 2023)

Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months. - Keane Lucas; Weiran Lin; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (CCS, 2024)

Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity. - Suguru Horimoto; Keane Lucas; Lujo Bauer (DIMVA, 2024)

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 (NDSS, 2024)

On the Feasibility of Using LLMs to Execute Multistage Network Attacks. - Brian Singer; Keane Lucas; Lakshmi Adiga; Meghna Jain; Lujo Bauer; Vyas Sekar (CoRR, 2025)