フォロー
Keane Lucas
Keane Lucas
Member of Technical Staff, Anthropic
確認したメール アドレス: anthropic.com - ホームページ
タイトル
引用先
引用先
年
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
4802019
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
100*2021
Adversarial training for {Raw-Binary} malware classifiers
K Lucas, S Pai, W Lin, L Bauer, MK Reiter, M Sharif
32nd USENIX Security Symposium (USENIX Security 23), 1163-1180, 2023
372023
RS-Del: Edit distance robustness certificates for sequence classifiers via randomized deletion
Z Huang, NG Marchant, K Lucas, L Bauer, O Ohrimenko, B Rubinstein
Advances in Neural Information Processing Systems 36, 18676-18711, 2023
232023
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
K Lucas, RE Allen
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
162022
Perspectives from a comprehensive evaluation of reconstruction-based anomaly detection in industrial control systems
C Fung, S Srinarasi, K Lucas, HB Phee, L Bauer
European Symposium on Research in Computer Security, 493-513, 2022
112022
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
72023
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
52021
Certified robustness of learning-based static malware detectors
Z Huang, NG Marchant, K Lucas, L Bauer, O Ohrimenko, BI Rubinstein
CoRR, 2023
22023
Group-based Robustness: A General Framework for Customized Robustness in the Real World
W Lin, K Lucas, N Eyal, L Bauer, MK Reiter, M Sharif
arXiv preprint arXiv:2306.16614, 2023
12023
On the Feasibility of Using LLMs to Execute Multistage Network Attacks
B Singer, K Lucas, L Adiga, M Jain, L Bauer, V Sekar
arXiv preprint arXiv:2501.16466, 2025
2025
Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months
K Lucas, W Lin, L Bauer, MK Reiter, M Sharif
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024
2024
Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity
S Horimoto, K Lucas, L Bauer
Detection of Intrusions and Malware, and Vulnerability Assessment: 21st …, 2024
2024
Attacking, Defending, and Evaluating Machine-Learning-Based Raw-Binary Malware Detectors
K Lucas
Carnegie Mellon University, 2024
2024
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
Subspace Grid-sweep: ML Defense Evaluation via Constrained Brute-force Search
K Lucas, M Jagielski, F Tramèr, L Bauer, N Carlini
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
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