Folgen
Keane Lucas
Keane Lucas
PhD Student, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Creating xBD: A dataset for assessing building damage from satellite imagery
R Gupta, B Goodman, N Patel, R Hosfelt, S Sajeev, E Heim, J Doshi, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1642019
Malware makeover: Breaking ml-based static analysis by modifying executable bytes
K Lucas, M Sharif, L Bauer, MK Reiter, S Shintre
Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021
38*2021
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
K Lucas, RE Allen
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
62022
Certified robustness of learning-based static malware detectors
Z Huang, NG Marchant, K Lucas, L Bauer, O Ohrimenko, BIP Rubinstein
arXiv preprint arXiv:2302.01757, 2023
12023
Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems
C Fung, S Srinarasi, K Lucas, HB Phee, L Bauer
Computer Security–ESORICS 2022: 27th European Symposium on Research in …, 2022
12022
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators
K Lucas, M Jagielski, F Tramèr, L Bauer, N Carlini
arXiv preprint arXiv:2302.13464, 2023
2023
Deceiving ML-Based Friend-or-Foe Identification for Executables
K Lucas, M Sharif, L Bauer, MK Reiter, S Shintre
Cyber Deception: Techniques, Strategies, and Human Aspects, 217-249, 2022
2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
W Lin, K Lucas, L Bauer, MK Reiter, M Sharif
arXiv preprint arXiv:2112.14232, 2021
2021
Adversarial Training for Raw-Binary Malware Classifiers
K Lucas, S Pai, W Lin, L Bauer, MK Reiter, M Sharif
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–9