Keane Lucas

Orcid: 0000-0002-4705-3412

According to our database1, Keane Lucas authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Group-based Robustness: A General Framework for Customized Robustness in the Real World.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2024

2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators.
CoRR, 2023

Certified Robustness of Learning-based Static Malware Detectors.
CoRR, 2023

Adversarial Training for Raw-Binary Malware Classifiers.
Proceedings of the 32nd USENIX Security Symposium, 2023

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion.
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.
Proceedings of the International Conference on Machine Learning, 2022

Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems.
Proceedings of the Computer Security - ESORICS 2022, 2022

Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination.
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.
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.
CoRR, 2019

Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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