ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation

13 March 2019

Papers citing "ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation"

8 / 8 papers shown

Title
Magnificent Minified Models Richard E. Harang Hillary Sanders 14 0 0 16 Jun 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 37 0 03 Mar 2023
Transformers for End-to-End InfoSec Tasks: A Feasibility Study Ethan M. Rudd Mohammad Saidur Rahman Philip Tully 30 5 0 05 Dec 2022
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 38 6 0 05 Dec 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 25 10 0 13 Apr 2022
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 41 21 0 09 Aug 2021
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection Richard E. Harang Ethan M. Rudd 8 95 0 14 Dec 2020
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 525 0 27 Jun 2012