Keane Lucas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Malware Detection

Sufficient Training Data

Machine Learning Models

Top Venues

USENIX Security Symposium

Publications

Suguru Horimoto, Keane Lucas, Lujo Bauer
Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity. DIMVA (2024)
Keane Lucas, Matthew Jagielski, Florian Tramèr, Lujo Bauer, Nicholas Carlini
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators. CoRR (2023)
Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
Certified Robustness of Learning-based Static Malware Detectors. CoRR (2023)
Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
Adversarial Training for Raw-Binary Malware Classifiers. USENIX Security Symposium (2023)
Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
Group-based Robustness: A General Framework for Customized Robustness in the Real World. CoRR (2023)
Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion. NeurIPS (2023)
Keane Lucas, Ross E. Allen
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. CoRR (2022)
Clement Fung, Shreya Srinarasi, Keane Lucas, Hay Bryan Phee, Lujo Bauer
Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems. ESORICS (3) (2022)
Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. ICML (2022)
Keane Lucas, Ross E. Allen
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. AAMAS (2022)
Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes. AsiaCCS (2021)
Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. CoRR (2021)
Mahmood Sharif, Keane Lucas, Lujo Bauer, Michael K. Reiter, Saurabh Shintre
Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection. CoRR (2019)
Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston
Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery. CVPR Workshops (2019)