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cs.LG2026
Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks
Manu Nandan, TJ Jaymes, Michael Brautbar +1
Detecting security threats in an organization's cloud computing environment has become necessary due to the increased reliance on cloud infrastructure. Logging of all cloud computi…
cs.LG2025
Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack
Edward Raff, Karen Kukla, Michel Benaroch +1
Bad actors, primarily distressed firms, have the incentive and desire to manipulate their financial reports to hide their distress and derive personal gains. As attackers, these fi…
cs.LG2024
What Do Machine Learning Researchers Mean by "Reproducible"?
Edward Raff, Michel Benaroch, Sagar Samtani +1
The concern that Artificial Intelligence (AI) and Machine Learning (ML) are entering a "reproducibility crisis" has spurred significant research in the past few years. Yet with eac…