Explore @ALFA-group Open Source projects

Anyscale Learning For All (ALFA) (@ALFA-group)

ALFA-group

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279
Global Org. Rank 33,686 (Top 11 %)
Registered over 7 years ago
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Python
60.0 %

Jupyter Notebook
26.7 %

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6.7 %

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6.7 %
Location 🇺🇸 United States
Country Total Rank 24,814
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Python
4,218

Jupyter Notebook
5,671

robust-adv-malware-detection

[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly

BRON

"Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyber Hunting" by Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly

lipizzaner-gan

[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly

adversarial-code-generation

[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly

malware_challenge

[AdvML@KDD 2019] Robust Malware Detection Challenge

bayesopt-nash-eq

Jupyter Notebook

neural-program-comprehension

[eLife 2020] "Comprehension of computer code relies primarily on domain-general executive brain regions" by Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Una-May O'Reilly, Marina U. Bers, Evelina Fedorenko

code-representations-ml-brain

[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.

adv-malware-viz

"On Visual Hallmarks of Robustness to Adversarial Malware" by Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly

ABL-Unity3D

ABL-Unity3D is a GUI-based and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning (ABL) research.

ML4Cyber2022

Code used for ML4Cyber2022 publication

Jupyter Notebook

AI4CyberMLHat_2022

Code for AI4CyberMLHat 2022 workshop paper

Jupyter Notebook

CoLAB-Workshop-2019

CoLAB Workshop 2019

Jupyter Notebook

darkhorseSDN

RaceInjector-counterexamples

[SOAP 2023, PLDI] Counterexamples generated by RaceInjector

reckless-minimax

[LeGO/GOW 2018] "On the Application of Danskin’s Theorem to Derivative-Free Minimax Optimization" by Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly