Keane Lucas

According to our database, Keane Lucas authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

CoRR, 2023

Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators.

Keane Lucas, Matthew Jagielski, Florian Tramèr, Lujo Bauer, Nicholas Carlini

CoRR, 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

Adversarial Training for Raw-Binary Malware Classifiers.

Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

Proceedings of the 32nd USENIX Security Symposium, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks.

Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Computer Security - ESORICS 2022, 2022

Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination.

Keane Lucas, Ross E. Allen

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes.

Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019