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2020 – today
- 2024
[c9]Suguru Horimoto, Keane Lucas, Lujo Bauer:
Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity. DIMVA 2024: 309-329- [c8]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. NDSS 2024 - 2023
- [c7]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 - [c6]Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif:
Adversarial Training for Raw-Binary Malware Classifiers. USENIX Security Symposium 2023: 1163-1180 - [i6]Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer
, Olga Ohrimenko, Benjamin I. P. Rubinstein:
Certified Robustness of Learning-based Static Malware Detectors. CoRR abs/2302.01757 (2023) - [i5]Keane Lucas, Matthew Jagielski, Florian Tramèr, Lujo Bauer, Nicholas Carlini:
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators. CoRR abs/2302.13464 (2023) - [i4]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 abs/2306.16614 (2023) - 2022
- [c5]Keane Lucas, Ross E. Allen:
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. AAMAS 2022: 853-861 - [c4]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: 493-513 - [c3]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: 13405-13430 - [i3]Keane Lucas, Ross E. Allen:
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. CoRR abs/2201.12436 (2022) - 2021
- [c2]Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre:
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes. AsiaCCS 2021: 744-758 - [i2]Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif:
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. CoRR abs/2112.14232 (2021)
2010 – 2019
- 2019
- [c1]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: 10-17 - [i1]Mahmood Sharif, Keane Lucas, Lujo Bauer, Michael K. Reiter, Saurabh Shintre:
Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection. CoRR abs/1912.09064 (2019)
Coauthor Index
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