Keane Lucas - RankMe

17 papers A* 5A 2B 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Feasibility of Using LLMs to Execute Multistage Network Attacks. CoRR Brian Singer, Keane Lucas, Lakshmi Adiga, Meghna Jain, Lujo Bauer, Vyas Sekar
2024	B	`conf`	Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity. DIMVA Suguru Horimoto, Keane Lucas, Lujo Bauer
2024	A*	`conf`	Group-based Robustness: A General Framework for Customized Robustness in the Real World. NDSS Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
2024	A*	`conf`	Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months. CCS Keane Lucas, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
2023	A*	`conf`	Adversarial Training for Raw-Binary Malware Classifiers. USENIX Security Symposium Keane Lucas, Samruddhi Pai, Weiran Lin, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
2023	J	`jnl`	Certified Robustness of Learning-based Static Malware Detectors. CoRR Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
2023	J	`jnl`	Group-based Robustness: A General Framework for Customized Robustness in the Real World. CoRR Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
2023	A*	`conf`	RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion. NeurIPS Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
2023	J	`jnl`	Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators. CoRR Keane Lucas, Matthew Jagielski, Florian Tramèr, Lujo Bauer, Nicholas Carlini
2022	A	`conf`	Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. AAMAS Keane Lucas, Ross E. Allen
2022	J	`jnl`	Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. CoRR Keane Lucas, Ross E. Allen
2022	A*	`conf`	Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. ICML Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
2022	—	`conf`	Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems. ESORICS (3) Clement Fung, Shreya Srinarasi, Keane Lucas, Hay Bryan Phee, Lujo Bauer
2021	J	`jnl`	Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. CoRR Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif
2021	A	`conf`	Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes. AsiaCCS Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre
2019	—	`conf`	Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery. CVPR Workshops Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston
2019	J	`jnl`	Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection. CoRR Mahmood Sharif, Keane Lucas, Lujo Bauer, Michael K. Reiter, Saurabh Shintre