Anyscale Learning For All (ALFA)

All

26 repositories

Tutorial_GP-LLM
Public
Code for Tutorial on Genetic Programming and Large Language Models
Python
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MIT License
•1•3•0•0•Updated Aug 5, 2024Aug 5, 2024
robust-adv-malware-detection
Public
[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
optimization malware cybersecurity adversarial-networks adversarial-machine-learning saddlepoint-approximation binary-encoded deep-learning
Python
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MIT License
•40•102•1•0•Updated Jul 25, 2024Jul 25, 2024
lipizzaner-ae
Public
Cooperative Spatial Topologies for Autoencoder Training
Python
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MIT License
•0•0•0•0•Updated Jul 21, 2024Jul 21, 2024
BRON
Public
"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
cwe capec threat-data
Python
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MIT License
•24•87•7•0•Updated Jul 1, 2024Jul 1, 2024
lipizzaner-gan
Public
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly
distributed-computing evolutionary-algorithms gans coevolutionary min-max machine-learning
Python
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MIT License
•11•33•5•8•Updated Nov 23, 2023Nov 23, 2023
STGP-Sharp
Public
A strongly-typed genetic programming implementation in C#
csharp genetic-programming
C#
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MIT License
•0•0•0•0•Updated Nov 22, 2023Nov 22, 2023
beacons-in-code-comprehension
Public
Python
•0•0•0•0•Updated Oct 6, 2023Oct 6, 2023
AI4Cyber_Wkshp_LLM_QA_Paper_2023
Public
AI4Cyber KDD Workshop 2023 Code for Assessing LLM QA Paper 2023
0•0•0•0•Updated Jul 31, 2023Jul 31, 2023
ABL-Unity3D
Public
ABL-Unity3D is a GUI-based and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning (ABL) research.
gui simulator unity genetic-programming ai-planning
C#
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MIT License
•0•3•0•0•Updated Apr 13, 2023Apr 13, 2023
RaceInjector-counterexamples
Public
[SOAP 2023, PLDI] Counterexamples generated by RaceInjector
MIT License
•0•1•0•0•Updated Mar 13, 2023Mar 13, 2023
code-representations-ml-brain
Public
[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.
python programming-languages representation-learning language-models cognitive-neuroscience fmri-data-analysis language-understanding
Python
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MIT License
•0•7•0•0•Updated Dec 21, 2022Dec 21, 2022
CLAW-SAT
Public
[SANER 2023] "CLAWSAT: Towards Both Robust and Accurate Code Models" by Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
python java ml4code adversarial-attacks adversarial-robustness contrastive-learning ai4code
Python
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MIT License
•1•0•0•0•Updated Dec 17, 2022Dec 17, 2022
AI4CyberMLHat_2022
Public
Code for AI4CyberMLHat 2022 workshop paper
Jupyter Notebook
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MIT License
•2•2•0•0•Updated Aug 2, 2022Aug 2, 2022
ML4Cyber2022
Public
Code used for ML4Cyber2022 publication
Jupyter Notebook
•
MIT License
•4•2•1•0•Updated Jul 21, 2022Jul 21, 2022
adversarial-code-generation
Public
[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
seq2seq program-analysis combinatorial-optimization adversarial-machine-learning ml4code big-code differentiable-programming code2seq ml4se ai4code
Python
•5•26•2•0•Updated Nov 15, 2021Nov 15, 2021
lipizzaner-web
Public
ALFA web
HTML
•0•0•0•0•Updated Oct 26, 2021Oct 26, 2021
EEG_coma
Public
MATLAB
•0•0•0•0•Updated May 4, 2021May 4, 2021
SNAPT
Public
Simple Network Advanced Persistance Threat (SNAPT)
MIT License
•0•0•0•0•Updated Apr 12, 2021Apr 12, 2021
neural-program-comprehension
Public
[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
python programming-languages fmri cognitive-neuroscience language-understanding scratchjr language-comprehension
Python
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MIT License
•5•10•0•0•Updated Dec 16, 2020Dec 16, 2020
blackbox-adv-examples-signhunter
Public
A repository for the query-efficient black-box attack, SignHunter
Jupyter Notebook
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MIT License
•6•1•0•0•Updated Jan 15, 2020Jan 15, 2020
malware_challenge
Public
[AdvML@KDD 2019] Robust Malware Detection Challenge
Python
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MIT License
•8•17•0•0•Updated Nov 28, 2019Nov 28, 2019
CoLAB-Workshop-2019
Public
CoLAB Workshop 2019
Jupyter Notebook
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MIT License
•1•2•0•0•Updated May 19, 2019May 19, 2019
darkhorseSDN
Public
DarkHorse SDN
Shell
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MIT License
•0•2•0•0•Updated Apr 8, 2019Apr 8, 2019
adv-malware-viz
Public
"On Visual Hallmarks of Robustness to Adversarial Malware" by Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
visualization malware adversarial-example deep-learning
Python
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MIT License
•5•6•0•0•Updated Aug 31, 2018Aug 31, 2018
reckless-minimax
Public
[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
minimax black-box-optimization
Python
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MIT License
•2•1•0•1•Updated Aug 23, 2018Aug 23, 2018
bayesopt-nash-eq
Public
game-theory robust-optimization black-box-optimization bayesian-optimization nash-equilibrium gp game-theoretic-algorithms python algorithm
Jupyter Notebook
•4•13•0•0•Updated Jul 14, 2018Jul 14, 2018